modelId
stringlengths 5
122
| author
stringlengths 2
42
| last_modified
timestamp[us, tz=UTC] | downloads
int64 0
738M
| likes
int64 0
11k
| library_name
stringclasses 245
values | tags
sequencelengths 1
4.05k
| pipeline_tag
stringclasses 48
values | createdAt
timestamp[us, tz=UTC] | card
stringlengths 1
901k
|
|---|---|---|---|---|---|---|---|---|---|
mradermacher/Sydney-i1-GGUF | mradermacher | 2024-07-02T13:46:56Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:CoprolaliacPress/Sydney",
"endpoints_compatible",
"region:us"
] | null | 2024-07-02T12:14:21Z | ---
base_model: CoprolaliacPress/Sydney
language:
- en
library_name: transformers
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/CoprolaliacPress/Sydney
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Sydney-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ1_S.gguf) | i1-IQ1_S | 2.1 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ1_M.gguf) | i1-IQ1_M | 2.3 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.5 | |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.7 | |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ2_S.gguf) | i1-IQ2_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ2_M.gguf) | i1-IQ2_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.8 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ3_S.gguf) | i1-IQ3_S | 3.8 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ3_M.gguf) | i1-IQ3_M | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.4 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.5 | |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q4_0.gguf) | i1-Q4_0 | 4.8 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/Sydney-i1-GGUF/resolve/main/Sydney.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his hardware for calculating the imatrix for these quants.
<!-- end -->
|
yemen2016/danskbert_NC_01 | yemen2016 | 2024-07-02T13:39:03Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:vesteinn/DanskBERT",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2024-07-02T12:14:52Z | ---
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: danskbert_NC_01
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# danskbert_NC_01
This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6843
- F1-score: 0.5887
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 37 | 0.6946 | 0.3564 |
| No log | 2.0 | 74 | 0.6943 | 0.3333 |
| No log | 3.0 | 111 | 0.6943 | 0.3647 |
| No log | 4.0 | 148 | 0.6926 | 0.5322 |
| No log | 5.0 | 185 | 0.6910 | 0.5191 |
| No log | 6.0 | 222 | 0.6895 | 0.4023 |
| No log | 7.0 | 259 | 0.6866 | 0.5712 |
| No log | 8.0 | 296 | 0.6843 | 0.5887 |
| No log | 9.0 | 333 | 0.6804 | 0.5712 |
| No log | 10.0 | 370 | 0.6824 | 0.5357 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
ayush7/CBSE_Class10_NoMathEng_unpacked_10_v0.2 | ayush7 | 2024-07-02T15:29:23Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-02T12:15:06Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
n1ra/qwen-aid-v2-GGUF | n1ra | 2024-07-02T12:17:42Z | 0 | 0 | null | [
"gguf",
"region:us"
] | null | 2024-07-02T12:15:23Z | Entry not found |
Domeandreimno/yolov8-segmentation | Domeandreimno | 2024-07-02T14:40:28Z | 0 | 0 | transformers | [
"transformers",
"v8",
"image-segmentation",
"endpoints_compatible",
"region:us"
] | image-segmentation | 2024-07-02T12:16:11Z | ---
pipeline_tag: image-segmentation
---
# YOLOv8 Segmentation Model
Questo repository contiene il modello YOLOv8 per la segmentazione e i pesi personalizzati addestrati su un dataset specifico.
## File contenuti
- `yolov8n-seg.pt`: Modello YOLOv8 pre-addestrato per la segmentazione.
- `best.pt`: Pesi personalizzati addestrati su un dataset specifico per migliorare le prestazioni di segmentazione.
## Utilizzo
Questi file possono essere utilizzati con CVAT per la segmentazione automatica delle immagini. Segui le istruzioni di [CVAT](https://cvat.ai) per caricare e utilizzare il modello. |
clem/ai-french-prime-minister | clem | 2024-07-02T12:17:37Z | 0 | 14 | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-07-02T12:16:16Z | ---
license: apache-2.0
---
The only prime minister who will be able to gather all french political parties |
ayush7/CBSE_Class10_NoMathEng_packed_10_v0.2 | ayush7 | 2024-07-02T12:16:27Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:16:27Z | Entry not found |
Ramikan-BR/Codama-8b-v0-Q4_K_M-GGUF | Ramikan-BR | 2024-07-02T12:16:51Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"sft",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:Ramikan-BR/Codama-8b-v0",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-07-02T12:16:29Z | ---
base_model: Ramikan-BR/Codama-8b-v0
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
- llama-cpp
- gguf-my-repo
---
# Ramikan-BR/Codama-8b-v0-Q4_K_M-GGUF
This model was converted to GGUF format from [`Ramikan-BR/Codama-8b-v0`](https://huggingface.co/Ramikan-BR/Codama-8b-v0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Ramikan-BR/Codama-8b-v0) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
```bash
brew install llama.cpp
```
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama-cli --hf-repo Ramikan-BR/Codama-8b-v0-Q4_K_M-GGUF --hf-file codama-8b-v0-q4_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Ramikan-BR/Codama-8b-v0-Q4_K_M-GGUF --hf-file codama-8b-v0-q4_k_m.gguf -c 2048
```
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```
Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo Ramikan-BR/Codama-8b-v0-Q4_K_M-GGUF --hf-file codama-8b-v0-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Ramikan-BR/Codama-8b-v0-Q4_K_M-GGUF --hf-file codama-8b-v0-q4_k_m.gguf -c 2048
```
|
Trelis/multi-qa-MiniLM-L6-dot-v1-ft-pairs-4-cst-epoch-s1 | Trelis | 2024-07-02T12:19:00Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"dataset_size:180",
"loss:MultipleNegativesRankingLoss",
"arxiv:1908.10084",
"arxiv:1705.00652",
"base_model:sentence-transformers/multi-qa-MiniLM-L6-dot-v1",
"autotrain_compatible",
"endpoints_compatible",
"text-embeddings-inference",
"region:us"
] | sentence-similarity | 2024-07-02T12:18:55Z | ---
base_model: sentence-transformers/multi-qa-MiniLM-L6-dot-v1
datasets: []
language: []
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:180
- loss:MultipleNegativesRankingLoss
widget:
- source_sentence: What is the penalty awarded to the non-offending team if a player
in possession holds or impedes a defending player?
sentences:
- 15. 5 after effecting the touch, the defending player must retire the required
seven ( 7 ) metres or to the defending try line as indicated by the referee without
interfering with the attacking team. ruling = a penalty to the attacking team
ten ( 10 ) metres forward of the infringement or if on the defensive try line,
on the seven ( 7 ) metre line. fit playing rules - 5th edition copyright © touch
football australia 2020 13 16 obstruction 16. 1 a player in possession must not
run or otherwise move behind other attacking players or the referee in an attempt
to avoid an imminent touch. ruling = a penalty to the non - offending team at
the point of the infringement. 16. 2 the player in possession is not to hold or
otherwise impede a defending player in any way. ruling = a penalty to the non
- offending team at the point of the infringement.
- 'these rules in no way restrict any nta or their authorised competition providers
from having different match conditions to these rules. any adaptation of or alterations
to the rules for local competitions should be clearly articulated in relevant
competition guidelines and be readily available for players, coaches and referees
alike preamble copyright © touch football australia 2020 all rights reserved.
these touch football rules are protected by copyright laws. except as permitted
under the copyright act, these rules must not be reproduced by any process, electronic
or otherwise, without the written permission of touch football australia. fit
playing rules - 5th edition copyright © touch football australia 2020 appendix
1 – field of play contents 01 i the field of play 5 02 i player registration 5
03 i the ball 6 04 i playing uniform 6 05 i team composition 6 06 i team coach
and team officials 7 07 i commencement and recommencement of play 7 08 i match
duration 8 09 i possession 8 10 i the touch 9 11 i passing 10 12 i ball touched
in flight 10 13 i the rollball 11 14 i scoring 13 15 i offside 13 16 i obstruction
14 17 i interchange 14 18 i penalty 15 19 i advantage 16 20 i misconduct 16 21
i forced interchange 16 22 i sin bin 16 23 i dismissal 17 24 i drop - off 17 25
i match officials 18 fit playing rules - 5th edition copyright © touch football
australia 2020 fit playing rules - 5th edition copyright © touch football australia
2020 definitions and terminology unless the contrary intention appears, the following
definitions and terminology apply to the game of touch : term / phrase definition
/ description advantage the period of time after an infringement in which the
non - offending side has the opportunity to gain advantage either territorial,
tactical or in the form of a try.'
- fit playing rules - 5th edition copyright © touch football australia 2020 3 sin
bin area the area between the dead ball line and the perimeter where players are
sent for either a sin bin period or exclusion for repeated seven metre zone infringements.
there are four ( 4 ) sin bin areas. see appendix 1. spirit of the game the act
of good sportsmanship and fair play. substitute player the player who replaces
another player during interchange. there is a maximum of eight ( 8 ) substitute
players in any team and except when interchanging, in the sin bin, dismissed or
on the field of play, they must remain in the substitution box. tap and tap penalty
the method of commencing the match, recommencing the match after half time and
after a try has been scored. the tap is also the method of recommencing play when
a penalty is awarded. the tap is taken by placing the ball on the ground at or
behind the mark, releasing both hands from the ball, tapping the ball gently with
either foot or touching the foot on the ball. the ball must not roll or move more
than one ( 1 ) metre in any direction and must be retrieved cleanly, without touching
the ground again.
- source_sentence: What is the consequence for teams playing unregistered players?
sentences:
- 12. 2 if a player from the defending team deliberately makes contact with the
ball in flight and the ball is retrieved by an attacking player, without touching
the ground, play continues and the next touch is zero ( 0 ) touch. 12. 3 if a
player from the defending team deliberately makes contact with the ball in flight,
propelling it forward and an attacking player, in an attempt to regain possession,
drops the ball, the attacking team retains possession and the fit playing rules
- 5th edition 10 copyright © touch football australia 2020 touch count restarts
as zero ( 0 ) touch. 12. 4 if a player from the defending team deliberately makes
contact with the ball in flight, propelling it towards the defending team ’ s
dead ball line and an attacking player, in an attempt to regain possession drops
the ball, a change of possession occurs. 12. 5 if a player from the defending
team unintentionally makes contact with the ball in flight and the ball goes to
ground, a change of possession occurs. 12. 6 if a player from the defending team
unintentionally makes contact with the ball in flight and the ball is retrieved
by an attacking player, play and the touch count continues.
- 8. 3. 1 should a penalty be awarded during this period, the penalty is to be taken.
8. 4 if a match is abandoned in any circumstances other than those referred to
in clause 24. 1. 6 the nta or nta competition provider in its sole discretion
shall determine the result of the match. 9 possession 9. 1 the team with the ball
is entitled to six ( 6 ) touches prior to a change of possession. 9. 2 on the
change of possession due to an intercept, the first touch will be zero ( 0 ) touch.
9. 3 following the sixth touch or a loss of possession due to any other means,
the ball must be returned to the mark without delay. ruling = a deliberate delay
in the changeover procedure will result in a penalty awarded to the non - offending
team ten ( 10 ) metres forward of the mark for the change of possession. 9. 4
if the ball is dropped or passed and goes to ground during play, a change of possession
results. ruling = the mark for the change of possession is where the ball makes
initial contact with the ground.
- 2 player registration 2. 1 participating players are to be registered with a nta
or with an approved nta competition provider. 2. 2 teams playing unregistered
players are liable to forfeit any match in which unregistered players have competed.
fit playing rules - 5th edition copyright © touch football australia 2020 5 3
the ball 3. 1 the game is played with an oval, inflated ball of a shape, colour
and size approved by fit or the nta. 3. 2 the ball shall be inflated to the manufacturers
’ recommended air pressure. 3. 3 the referee shall immediately pause the match
if the size and shape of the ball no longer complies with clauses 3. 1 or 3. 2
to allow for the ball to replaced or the issue rectified. 3. 4 the ball must not
be hidden under player attire. 4 playing uniform 4. 1 participating players are
to be correctly attired in matching team uniforms 4. 2 playing uniforms consist
of shirt, singlet or other item as approved by the nta or nta competition provider,
shorts and / or tights and socks.
- source_sentence: What is the length of the field of play from try line to try line?
sentences:
- fit playing rules - 5th edition 4 copyright © touch football australia 2020 rules
of play mode of play the object of the game of touch is for each team to score
tries and to prevent the opposition from scoring. the ball may be passed, knocked
or handed between players of the attacking team who may in turn run or otherwise
move with the ball in an attempt to gain territorial advantage and to score tries.
defending players prevent the attacking team from gaining a territorial advantage
by touching the ball carrier. 1 the field of play 1. 1 the field of play is rectangular
in shape measuring 70 metres in length from try line to try line, excluding the
in - goal areas and 50 metres in width from sideline to sideline excluding the
interchange areas. 1. 1. 1 variations to the dimensions of the field of play may
be made but must be included in relevant competition, event or tournament conditions
1. 2 line markings should be 4cm in width but must be no less than 2. 5cm. line
markings are to be laid out as shown in appendix 1 - the field of play.
- 22 sin bin 22. 1 the on - field referee is required to indicate the commencement
and the end of the sin bin time. 22. 2 any player sent to the sin bin must stand
in the sin bin area at the opposition ’ s end of the field of play and on the
same side as their interchange area. 22. 3 any player sent to the sin bin must
return to the interchange area prior to re - entering the field of play. 22. 4
any action that causes the touch count to restart will result in a continuation
of that possession. for the avoidance of doubt, should a defender knock the ball
down or give away a penalty, this does not mean that the possession has been completed,
but rather the possession continues. fit playing rules - 5th edition 16 copyright
© touch football australia 2020 23 dismissal 23. 1 a player or official dismissed
for misconduct is to take no further part in that match and is to move to and
remain outside the perimeter for the remainder of the match. 23. 2 the dismissed
player or official cannot be replaced and, in accordance with nta disciplinary
regulations, that player shall receive an automatic two ( 2 ) match suspension.
- 25. 1. 2 adjudicate on the rules of the game ; 25. 1. 3 impose any sanction necessary
to control the match ; 25. 1. 4 award tries and record the progressive score ;
25. 1. 5 maintain a count of touches during each possession ; 25. 1. 6 award penalties
for infringements against the rules ; and 25. 1. 7 report to the relevant competition
administration any sin bins, dismissals or injuries to any participant sustained
during a match. 25. 2 only team captains are permitted to seek clarification of
a decision directly from the referee. an approach may only be made during a break
in play or at the discretion of the referee. fit playing rules - 5th edition 18
copyright © touch football australia 2020 halfway line sin bin areas in - goal
area try line 7 m zone dead ball line perimeter interchange area 20m 10m 10m 1m
5m 7 m 7 m 7 m 7 m 50m 3m 70m interchange area appendix 1 – field of play fit
playing rules - 5th edition copyright © touch football australia 2020 19 federation
of international touch
- source_sentence: What is the distance from the point of infringement where a penalty
can be taken, according to rule 15.2 and 15.3?
sentences:
- 15. 2 at a tap, all players from the defending team must retire a distance of
ten ( 10 ) metres from the mark or to the defending try line as indicated by the
referee. ruling = a penalty to the attacking team at the point of the infringement
or on the ten ( 10 ) metre line directly forward of the infringement. 15. 3 at
a rollball or tap, players from the defending team must not retire an unreasonable
distance beyond the defending try line. ruling = a penalty to the attacking team
at the point of the infringement or on the seven ( 7 ) metre line directly forward
of the infringement. 15. 4 when a rollball occurs within defending team ’ s seven
metre zone or a penalty tap within ten ( 10 ) metres of the defending team ’ s
try line, all players from the defending team must have both feet on or behind
their try line and no other part of the body in contact with the ground forward
of their try line. ruling = a penalty to the attacking team at the seven ( 7 )
metre line directly forward of the point of the infringement.
- 'fit playing rules - 5th edition copyright © touch football australia 2020 17
24. 3 at the commencement of the drop - off, if there is a player serving time
in the sin bin and is yet to complete the required time, their team commences
the drop - off with one ( 1 ) less player on the field than their opposition and
continues to play with one ( 1 ) player less until the sin bin period has been
completed. 24. 4 at the commencement of the drop - off, if a team has had a player
dismissed for the remainder of the match that team continues to play with one
( 1 ) player less than the opposition team for the duration of the drop - off.
24. 5 for the avoidance of doubt for clauses 24. 3 and 24. 4 the non - offending
team will retain a numerical advantage on the field of play during the drop -
off. 25 match officials 25. 1 the referee is the sole judge on all match related
matters inside the perimeter for the duration of a match, has jurisdiction over
all players, coaches and officials and is required to : 25. 1. 1 inspect the field
of play, line markings and markers prior to the commencement of the match to ensure
the safety of all participants.'
- 'these rules in no way restrict any nta or their authorised competition providers
from having different match conditions to these rules. any adaptation of or alterations
to the rules for local competitions should be clearly articulated in relevant
competition guidelines and be readily available for players, coaches and referees
alike preamble copyright © touch football australia 2020 all rights reserved.
these touch football rules are protected by copyright laws. except as permitted
under the copyright act, these rules must not be reproduced by any process, electronic
or otherwise, without the written permission of touch football australia. fit
playing rules - 5th edition copyright © touch football australia 2020 appendix
1 – field of play contents 01 i the field of play 5 02 i player registration 5
03 i the ball 6 04 i playing uniform 6 05 i team composition 6 06 i team coach
and team officials 7 07 i commencement and recommencement of play 7 08 i match
duration 8 09 i possession 8 10 i the touch 9 11 i passing 10 12 i ball touched
in flight 10 13 i the rollball 11 14 i scoring 13 15 i offside 13 16 i obstruction
14 17 i interchange 14 18 i penalty 15 19 i advantage 16 20 i misconduct 16 21
i forced interchange 16 22 i sin bin 16 23 i dismissal 17 24 i drop - off 17 25
i match officials 18 fit playing rules - 5th edition copyright © touch football
australia 2020 fit playing rules - 5th edition copyright © touch football australia
2020 definitions and terminology unless the contrary intention appears, the following
definitions and terminology apply to the game of touch : term / phrase definition
/ description advantage the period of time after an infringement in which the
non - offending side has the opportunity to gain advantage either territorial,
tactical or in the form of a try.'
- source_sentence: What is the consequence if a defending team is penalized three
times in their seven-meter zone during a single possession?
sentences:
- 5th edition rules touch football tion rules touch football touch football australia
( tfa ) undertook an extensive internal review of their domestic playing rules
throughout 2018 and 2019. the review was led by an vastly experienced group of
current and past players, coaches, referees and administrators of the sport from
community competitions to the elite international game. this group consulted broadly
within the australian community to develop a set of playing rules that could be
applied across all levels of the sport. the result was the tfa 8th edition playing
rules. at the federation of international touch paris convention held in october
2019 touch football australia presented the tfa 8th edition playing rules and
subsequently offered fit and all national touch associations ( ntas ) royalty
free rights to use the newly developed rules. consequently, the fit board resolved
to adopt the tfa 8th edition playing rules as the 5th edition fit playing rules
to be used across all levels of the game internationally. fit and its members
acknowledge and thank touch football australia for the rights to use these rules.
whilst consistency in the application of the rules of the game is important, fit
encourages its members to offer features in local competition rules to ensure
that all participants enjoy a high quality experience.
- 17. 2 there is no limit to the number of times a player may interchange. 17. 3
interchange players must remain in their interchange area for the duration of
the match. 17. 4 interchanges may only occur after the player leaving the field
of play has entered the interchange area. 17. 5 players leaving or entering the
field of play shall not hinder or obstruct play. ruling = a penalty to the non
- offending team at the point of the infringement. 17. 6 players entering the
field of play must take up an onside position before becoming involved in play.
fit playing rules - 5th edition 14 copyright © touch football australia 2020 ruling
= a penalty to the non - offending team at the point of the infringement. 17.
7 when an intercept has occurred or a line break made, players are not permitted
to interchange until the next touch has been made or ball becomes dead. ruling
a = if a player enters the field of play and prevents the scoring of a try, a
penalty try will be awarded and the offending player sent to the sin bin.
- 18. 5 the mark must be indicated by the referee before a penalty tap is taken.
18. 6 the penalty tap must be performed without delay after the referee indicates
the mark. ruling = a penalty to the non - offending team at the point of infringement.
18. 7 a player may perform a rollball instead of a penalty tap and the player
who receives the ball does not become the half. 18. 8 if the defending team is
penalised three ( 3 ) times upon entering their seven metre zone during a single
possession, the last offending player will be given an exclusion until the end
of that possession. 18. 9 a penalty try is awarded if any action by a player,
team official or spectator, deemed by the referee to be contrary to the rules
or spirit of the game clearly prevents the attacking team from scoring a try.
fit playing rules - 5th edition copyright © touch football australia 2020 15 19
advantage 19. 1 where a defending team player is offside at a tap or rollball
and attempts to interfere with play, the referee will allow advantage or award
a penalty, whichever is of greater advantage to the attacking team.
---
# SentenceTransformer based on sentence-transformers/multi-qa-MiniLM-L6-dot-v1
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/multi-qa-MiniLM-L6-dot-v1](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-dot-v1). It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [sentence-transformers/multi-qa-MiniLM-L6-dot-v1](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-dot-v1) <!-- at revision c3bdeb02464bc83f9b85156a3386a50bfbf3e6a8 -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 384 tokens
- **Similarity Function:** Dot Product
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
```
## Usage
### Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("Trelis/multi-qa-MiniLM-L6-dot-v1-ft-pairs-4-cst-epoch-s1")
# Run inference
sentences = [
'What is the consequence if a defending team is penalized three times in their seven-meter zone during a single possession?',
'18. 5 the mark must be indicated by the referee before a penalty tap is taken. 18. 6 the penalty tap must be performed without delay after the referee indicates the mark. ruling = a penalty to the non - offending team at the point of infringement. 18. 7 a player may perform a rollball instead of a penalty tap and the player who receives the ball does not become the half. 18. 8 if the defending team is penalised three ( 3 ) times upon entering their seven metre zone during a single possession, the last offending player will be given an exclusion until the end of that possession. 18. 9 a penalty try is awarded if any action by a player, team official or spectator, deemed by the referee to be contrary to the rules or spirit of the game clearly prevents the attacking team from scoring a try. fit playing rules - 5th edition copyright © touch football australia 2020 15 19 advantage 19. 1 where a defending team player is offside at a tap or rollball and attempts to interfere with play, the referee will allow advantage or award a penalty, whichever is of greater advantage to the attacking team.',
'5th edition rules touch football tion rules touch football touch football australia ( tfa ) undertook an extensive internal review of their domestic playing rules throughout 2018 and 2019. the review was led by an vastly experienced group of current and past players, coaches, referees and administrators of the sport from community competitions to the elite international game. this group consulted broadly within the australian community to develop a set of playing rules that could be applied across all levels of the sport. the result was the tfa 8th edition playing rules. at the federation of international touch paris convention held in october 2019 touch football australia presented the tfa 8th edition playing rules and subsequently offered fit and all national touch associations ( ntas ) royalty free rights to use the newly developed rules. consequently, the fit board resolved to adopt the tfa 8th edition playing rules as the 5th edition fit playing rules to be used across all levels of the game internationally. fit and its members acknowledge and thank touch football australia for the rights to use these rules. whilst consistency in the application of the rules of the game is important, fit encourages its members to offer features in local competition rules to ensure that all participants enjoy a high quality experience.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
<!--
### Direct Usage (Transformers)
<details><summary>Click to see the direct usage in Transformers</summary>
</details>
-->
<!--
### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 32
- `learning_rate`: 2e-05
- `num_train_epochs`: 4
- `lr_scheduler_type`: constant
- `warmup_ratio`: 0.3
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 32
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `learning_rate`: 2e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 4
- `max_steps`: -1
- `lr_scheduler_type`: constant
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.3
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: False
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: False
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional
</details>
### Training Logs
| Epoch | Step | Training Loss | loss |
|:------:|:----:|:-------------:|:------:|
| 0.3333 | 2 | 1.7279 | - |
| 0.5 | 3 | - | 1.3621 |
| 0.6667 | 4 | 1.4819 | - |
| 1.0 | 6 | 1.5272 | 1.2755 |
| 1.3333 | 8 | 1.2528 | - |
| 1.5 | 9 | - | 1.2600 |
| 1.6667 | 10 | 1.421 | - |
| 2.0 | 12 | 1.1836 | 1.2422 |
| 2.3333 | 14 | 1.2527 | - |
| 2.5 | 15 | - | 1.2317 |
| 2.6667 | 16 | 1.485 | - |
| 3.0 | 18 | 0.8239 | 1.1883 |
| 3.3333 | 20 | 1.1028 | - |
| 3.5 | 21 | - | 1.1533 |
| 3.6667 | 22 | 0.9746 | - |
| 4.0 | 24 | 0.816 | 1.1237 |
### Framework Versions
- Python: 3.10.12
- Sentence Transformers: 3.0.1
- Transformers: 4.42.3
- PyTorch: 2.1.1+cu121
- Accelerate: 0.31.0
- Datasets: 2.17.1
- Tokenizers: 0.19.1
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
```
#### MultipleNegativesRankingLoss
```bibtex
@misc{henderson2017efficient,
title={Efficient Natural Language Response Suggestion for Smart Reply},
author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
year={2017},
eprint={1705.00652},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
<!--
## Glossary
*Clearly define terms in order to be accessible across audiences.*
-->
<!--
## Model Card Authors
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
-->
<!--
## Model Card Contact
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
--> |
Stable-Diffusion-PT/gpt2-fineweb | Stable-Diffusion-PT | 2024-07-02T12:27:22Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:20:35Z | Invalid username or password. |
0x7o/g-large-2 | 0x7o | 2024-07-02T12:22:26Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2024-07-02T12:21:16Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
tgrhn/whisper-large-v2-tr-cv13-5 | tgrhn | 2024-07-02T17:08:17Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"tr",
"dataset:mozilla-foundation/common_voice_13",
"base_model:openai/whisper-large-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2024-07-02T12:23:08Z | ---
language:
- tr
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13
model-index:
- name: 'Whisper Large v2 TR '
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Large v2 TR
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2168
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 328 | 0.1564 |
| 0.4016 | 2.0 | 656 | 0.1475 |
| 0.4016 | 3.0 | 984 | 0.1569 |
| 0.0623 | 4.0 | 1312 | 0.1748 |
| 0.0244 | 5.0 | 1640 | 0.1915 |
| 0.0244 | 6.0 | 1968 | 0.2168 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
jssaluja/tweet_distilbert_finetuned | jssaluja | 2024-07-02T13:14:07Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2024-07-02T12:23:24Z | Entry not found |
Meem24/layoutlm_train_suryaocr | Meem24 | 2024-07-02T12:27:53Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"layoutlmv3",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2024-07-02T12:26:58Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
goodcoffee/CV_summary_bart | goodcoffee | 2024-07-02T12:27:19Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:27:19Z | Entry not found |
Sleekcoder/smartcitystore02 | Sleekcoder | 2024-07-02T12:27:38Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:27:38Z | Entry not found |
InderV94/mixed_dtype_model | InderV94 | 2024-07-02T12:28:54Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"gemma",
"trl",
"en",
"base_model:unsloth/gemma-2b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-07-02T12:28:48Z | ---
base_model: unsloth/gemma-2b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- gemma
- trl
---
# Uploaded model
- **Developed by:** InderV94
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
NgTMDuc/huggingface-cli | NgTMDuc | 2024-07-02T12:56:35Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:29:28Z | Entry not found |
jiabing24/GID-segmentation | jiabing24 | 2024-07-02T12:31:28Z | 0 | 0 | segmentation-models-pytorch | [
"segmentation-models-pytorch",
"safetensors",
"semantic-segmentation",
"pytorch",
"image-segmentation",
"license:mit",
"region:us"
] | image-segmentation | 2024-07-02T12:29:35Z | ---
library_name: segmentation-models-pytorch
license: mit
pipeline_tag: image-segmentation
tags:
- semantic-segmentation
- pytorch
- segmentation-models-pytorch
languages:
- python
---
# FPN Model Card
Table of Contents:
- [Load trained model](#load-trained-model)
- [Model init parameters](#model-init-parameters)
- [Model metrics](#model-metrics)
- [Dataset](#dataset)
## Load trained model
```python
import segmentation_models_pytorch as smp
model = smp.FPN.from_pretrained("GID-segmentation")
```
## Model init parameters
```python
model_init_params = {
"encoder_name": "resnet34",
"encoder_depth": 5,
"encoder_weights": "imagenet",
"decoder_pyramid_channels": 256,
"decoder_segmentation_channels": 128,
"decoder_merge_policy": "add",
"decoder_dropout": 0.2,
"in_channels": 4,
"classes": 1,
"activation": None,
"upsampling": 4,
"aux_params": None
}
```
## Model metrics
```json
[
{
"test_per_image_iou": 0.6289815902709961,
"test_dataset_iou": 0.7612584233283997
}
]
```
## Dataset
Dataset name: GID
## More Information
- Library: https://github.com/qubvel/segmentation_models.pytorch
- Docs: https://smp.readthedocs.io/en/latest/
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) |
Trendyol/35_ty_mistral_v11-m2o-26062024 | Trendyol | 2024-07-02T12:36:01Z | 0 | 0 | transformers | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:30:14Z | Entry not found |
BilalKhan1/llama-urdu-model | BilalKhan1 | 2024-07-02T12:32:01Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:31:26Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
Aki1608/owlvit-base-patch32_FT_golf | Aki1608 | 2024-07-02T12:35:48Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"owlvit",
"zero-shot-object-detection",
"endpoints_compatible",
"region:us"
] | zero-shot-object-detection | 2024-07-02T12:31:38Z | Entry not found |
qsdcfqsdfcxqfqs/The-Christian-Science-Monitor-Daily-for-July-1-2024-2a-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:32:55Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:31:41Z | ---
language:
- en
---
[]()
read the full article here : https://rift.curseforge.com/paste/02c7c460
Source : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3411235113&Connector=https://unitedstatednews.com
Flash News : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_3322232213&Connector=https://unitedstatednews.com
Biden last Talk : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_2351253222&Connector=https://unitedstatednews.com
Russian Ukrain Breaking News : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_3551452343&Connector=https://unitedstatednews.com
Other Sources :
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_3424455354&Connector=https://unitedstatednews.com
https://paste.toolforge.org/view/331f84eb
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_1552451335&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us4544242532&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_3112525123&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us4424154233&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_5243341235&Connector=https://unitedstatednews.com
https://sebsauvage.net/paste/?098e454bff792d61#BVpV4OBAVeC3ytdQdhl7G+tzPC4FZoZtWdmrrsZKHjI=
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us2215122242&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us5421115125&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3352522235&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_3455134343&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_2252313353&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3433325324&Connector=https://unitedstatednews.com
In a historic ruling on Monday, the U.S. Supreme Court endorsed an expansive view of presidential immunity that appears to protect broad swaths of conduct by the commander in chief from judicial review.
The decision represents a significant victory for former President Donald Trump. Mr. Trump brought the case after lower courts ruled that the Department of Justice may prosecute him over his attempts to overturn the 2020 presidential election before and during the deadly Jan. 6, 2021, Capitol riot.
While the high court rejected Mr. Trump's claims of absolute criminal immunity, it does say former presidents are entitled to "presumptive immunity" for official acts. The decision all but ensures that the Justice Department's case won't go to trial before the 2024 election, when voters again will be choosing between Mr. Trump and President Joe Biden. In the longer-term, the implications also could be quite significant.
The 6-3 decision broke along the court's ideological divide, which on Monday seemed more like a chasm. The justices disagreed on not just the legal questions at issue, but the broader implications of the case. The public reaction to the ruling has echoed this ideological dissonance.
The court's conservative supermajority, like GOP officials and right-wing commentators, describe the decision as a moderate and principled defense of executive power against political prosecution. The fiery dissents from the liberal justices, and the reaction from Democrats and the White House, paint the picture of a high court anointing the presidency as an office above the law in perpetuity.
There is no doubt that the decision in Trump v. United States immediately ranks as one of the Supreme Court's most significant, and its ideological valence will likely affect public trust in the court. But what the ruling means for the central legal issue - the criminal immunity of former presidents - is still unclear.
"It's a major shift in how we think of the executive branch. It's more power in the hands of the president," says Alison LaCroix, a professor at the University of Chicago Law School.
"This presumptive immunity concept that they came up with," she adds, "really just invites all future presidents to take action and worry about litigation in the courts later, if ever."
The Supreme Court has said for decades that former presidents are immune from civil lawsuits related to actions they took while in office. Previously, it has rejected claims that former presidents are immune from prosecution for unofficial acts. In Trump v. U.S. the court faced, for the first time, the question of whether a former president is immune from criminal prosecution.
In lower court proceedings, Mr. Trump argued that he had absolute immunity from the four criminal charges being brought by the Justice Department. Both a district court judge and a panel of judges on the U.S. Court of Appeals for the D.C. Circuit rejected his arguments. The appeals court panel ruled unanimously that "any executive immunity that may have protected him while he served as President no longer protects him against this prosecution."
The Supreme Court decision Monday struck a tripartite middle ground between Mr. Trump's claims and the D.C. Circuit's ruling. A former president has absolute criminal immunity for actions "within his conclusive and preclusive constitutional authority"; they are entitled to "at least presumptive immunity" for all "official acts'; but "there is no immunity for unofficial acts."
The ruling offered limited guidance as to what may constitute an "official" or "unofficial" act. In the case of Mr. Trump's prosecution, lower courts will now re-examine the case to see if his efforts to overturn the 2020 election fell within his official responsibilities as president. The effective result is that Mr. Trump is unlikely to stand trial for his role in the events leading up to Jan. 6.
"What a huge victory for Trump in that there's basically zero chance that he's going to be tried before the 2024 election," says Dan Urman, a law professor at Northeastern University in Boston, who adds that he was "slightly surprised" at how "deferential" the majority was toward Mr. Trump's behavior while in office.
Instead, the justices in the majority were more preoccupied by the possibility that its decision paralyzes future presidents from taking important and decisive action. In the majority opinion, Chief Justice John Roberts hit back at the claim that the court was bestowing monarchical powers on the presidency.
"Like everyone else, the President is subject to prosecution in his unofficial capacity. But unlike anyone else, the President is a branch of government," he wrote. Ensuring that a president can "forcefully" exercise those powers, he added, "does not place him above the law; it preserves the basic structure of the Constitution from which that law derives."
What Americans should worry about, Chief Justice Roberts warned, is an "enfeebling" of the presidency. With a weaker immunity doctrine, "prosecutions of ex-Presidents could quickly become routine" and trigger "a cycle of factional strife." Thus, he added, a president "must" be immune from criminal prosecution for an official act unless the government can prove that the prosecution "would pose no 'dangers of intrusion on the authority and functions of the Executive Branch.'"
Conservative commentators noted that the Trump v. U.S. decision insulates Democratic presidents as much as it does Republicans. A hypothetical federal prosecution of President Joe Biden would be more difficult to bring now.
But while there is some merit in that fear that presidents could become magnets for criminal prosecution once they leave office, Professor LaCroix says there is a potentially darker consequence on the flip side of that coin.
"What they're not foregrounding there is the concern about rule of law, about democracy," she adds.
"Isn't that just telling the president, 'Go forward, do whatever you think, and maybe at some later date you'll be held to account'?" she continues. "The founders also worried a lot about tyranny and despotism. ... The majority to me is not mindful enough of those concerns."
The dissenting justices were mindful of those concerns.
In strikingly chilling language, Justice Sonia Sotomayor - writing for herself and Justices Elena Kagan and Ketanji Brown Jackson - described the devastating consequences she fears the ruling could have for American democracy.
The majority opinion "reshapes the institution of the presidency," and "makes a mockery of the principle, foundational to our Constitution and system of Government, that no man is above the law," wrote Justice Sotomayor.
"Whether described as presumptive or absolute, under the majority's rule, a President's use of any official power for any purpose, even the most corrupt, is immune from prosecution," she added. "That is just as bad as it sounds, and it is baseless."
Her dissent featured a list of "official" actions a president could take under the cover of presumptive immunity, from organizing a military coup, to taking a bribe in exchange for a pardon, to the now famous hypothetical of ordering Seal Team 6 to assassinate a political rival.
"The Court effectively creates a law-free zone around the President," she wrote. Without the traditional "respectfully" wording, she concluded: "With fear for our democracy, I dissent."
In a slightly lower-key separate dissent, Justice Jackson noted that the court went much further with its majority opinion than the case required.
In lower court proceedings, Mr. Trump claimed that former presidents had absolute immunity from criminal prosecution. Instead of taking up the case as a yes-or-no question, the court agreed to hear the case as to "whether and to what extent" a former president enjoys criminal immunity for official acts. On Monday, Justice Jackson wrote, the majority used that broader question to devise "an entirely new legal framework" for evaluating potential criminal immunity for former presidents.
"The Judiciary serves as a newfound special gatekeeper, charged not merely with interpreting the law but with policing whether it applies to the President at all," she added.
The majority "seems to have put their trust in our Court's ability to prevent Presidents from becoming Kings," she continued. "I fear that they are wrong. But, for all our sakes, I hope that they are right."
This charged rhetoric from the court's liberal wing drew special attention from Chief Justice Roberts. He criticized the dissents as "fear mongering on the basis of extreme hypotheticals" and striking "a tone of chilling doom that is wholly disproportionate to what the Court actually does today."
The opinion in Trump v. U.S. is instead, at bottom, a procedural one, claimed the chief justice. "At the current stage of proceedings in this case," he wrote, "we need not and do not decide whether that immunity must be absolute, or instead whether a presumptive immunity is sufficient."
Actually, says Claire Finkelstein, a law professor at the University of Pennsylvania Carey Law School, the ruling is broader than that.
"It really flies in the face of most of the court's other jurisprudence in this area. We have an unbroken line of cases ... in which courts are very clear that the president is not above the law," she says.
Two specific pages in the decision could be of huge consequence as the Justice Department's prosecution of Mr. Trump returns to the district court. The court cast significant doubt on whether evidence pertaining to a former president's official acts would be admissible in a criminal prosecution against him.
To allow a prosecutor to use such evidence would be "to eviscerate the immunity we have recognized," wrote Chief Justice Roberts, before reinforcing the argument that former presidents should have heightened protection from the evidentiary processes other Americans are subject to.
"The prosaic tools on which the government would have courts rely are an inadequate safeguard against the peculiar constitutional concerns implicated in the prosecution of a former president," he added. "Such tools may suffice to protect the constitutional rights of individual criminal defendants," but presidential immunity interests "seek to protect not the President himself, but the institution of the Presidency."
Justice Amy Coney Barrett joined the entire majority opinion except for that section. In a separate concurrence, she laid out - in more detail than the majority opinion - how a criminal immunity claim by former president could be adjudicated. The Constitution, she wrote, "does not insulate Presidents from criminal liability for official acts."
The president can challenge whether or not an alleged criminal act was "official" or not, she added. "If that challenge fails, however, he must stand trial."
As Republican-appointed justices divided sharply with Democratic-appointed justices on the Supreme Court, so too in the political realm.
Democrats expressed near-universal concern about the decision - and said it further raised the stakes of the 2024 election.
"It just puts a finer point on the fact that if Donald Trump gets anywhere near the Oval Office again, he will rule as a dictator, he will use his power to harm his political enemies, he will continue to incite political violence, and that is something that we cannot afford," Quentin Fulks, deputy campaign manager for the Biden campaign said on a press call.
Mr. Trump has made it clear in recent months that if he wins, he plans to erode the traditional independence of the Department of Justice.
In an April TIME Magazine interview, Trump said he might fire U.S. attorneys if they refuse an order from him to prosecute someone. His allies have drawn up plans to pack the DOJ with stalwart allies who would be unlikely to reject controversial orders from Mr. Trump and restructure the department to empower political appointees rather than career officials.
Mr. Trump has said he would appoint a "special prosecutor" to "go after" President Biden and his family. He also spent years saying that Hillary Clinton should be in jail, leading "lock her up" chants, though he didn't attempt to follow through on that threat during his presidency.
During the final days of his presidency, Mr. Trump attempted to appoint Jeffrey Clarke, a little-known DOJ official, as acting attorney general in order to help further his attempts to stay in office. He only backed down when a number of his top attorneys threatened to resign in protest. (Because it concerns an official appointment, experts believe this episode will likely be considered official conduct.)
If he does return to the White House, any federal prosecution of President Biden may now struggle to launch. But after the Supreme Court ruling on Monday, at least, Mr. Trump and his allies were giddy.
"BIG WIN FOR OUR CONSTITUTION AND DEMOCRACY. PROUD TO BE AN AMERICAN!" Mr. Trump posted to his Truth Social account..... |
qsdcfqsdfcxqfqs/Robert-F-Kennedy-Jrs-candidacy-challenged-in-Illinois-by-President-Bidenaligned-group-aa-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:33:02Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:31:49Z | ---
language:
- en
---
[]()
read the full article here : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_2315354451&Connector=https://unitedstatednews.com
Source : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3435135553&Connector=https://unitedstatednews.com
Flash News : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1143252321&Connector=https://unitedstatednews.com
Biden last Talk : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_5454221511&Connector=https://unitedstatednews.com
Russian Ukrain Breaking News : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3132113212&Connector=https://unitedstatednews.com
Other Sources :
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1513434325&Connector=https://unitedstatednews.com
https://prod.pastebin.prod.webservices.mozgcp.net/erpnc2sA
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us4141122115&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3324451314&Connector=https://unitedstatednews.com
https://authors-old.curseforge.com/paste/f8c04508
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us2342112254&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3322423525&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4353233433&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_2343555411&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4311235243&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_5533431314&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us4354235442&Connector=https://unitedstatednews.com
https://www.pastery.net/txtjvb/
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_1153441323&Connector=https://unitedstatednews.com
Complete coverage of the local and national primary and general election, including results, analysis and voter resources to keep Chicago voters informed.
A group aligned with President Biden is challenging ballot petitions filed by Robert F. Kennedy Jr. in Illinois -- claiming many signatures were fraudulent and that the independent presidential candidate is lying about his home address in New York.
Clear Choice, a super PAC that has also challenged Kennedy's petitions in New York and North Carolina, filed objections with the Illinois State Board of Elections on Monday, the deadline to object. The group is challenging 66,487 of the 85,509 signatures submitted by the Kennedy campaign, alleging some signers were ineligible and necessary petition fields were incorrect or incomplete "due to likely fraud and forgery."
The objection shows the aggressive nature in which Democrats and Biden allies continue to target third-party and independent candidates. The group says it's defending Biden from "unelectable spoiler candidates" who could help tip the election to former President Donald Trump.
Third party candidates are especially dangerous in battleground states like Wisconsin, where Biden won the state by less than 21,000 votes in 2020.
Clear Choice also filed objections to petitions filed in Illinois by Green Party presidential candidate Jill Stein and Green Party vice presidential candidate Samson Kpadenou.
"We are confident that a line-by-line review by the Illinois State Board of Elections will result in Kennedy falling below the 25,000 valid signature threshold," the group said.
Clear Choice said petitions appear similar to the campaign's New York petitions, in which some signers were unregistered voters or did not properly sign the petition. The group is also targeting the campaigns of academic activist Cornel West and groups like No Labels. The Democratic National Committee has also focused efforts on targeting third party candidates.
Objectors also claim that Kennedy does not live at the Katonah, New York residence listed. Illinois requires that candidates include their address of residence on each petition page.
Kennedy's campaign has said it is on the ballot in eight states -- but many of the states haven't yet certified his candidacy, including Mississippi and Texas. Tennessee officials have also stated Kennedy has not yet qualified. Democrats are also suing to keep Kennedy off the ballot in at least four states.
The Illinois State Board of Elections will assign hearing officers to the objection on July 9, according to spokesman Matt Dietrich. At a hearing, objectors and representatives from the campaign will present evidence and a report will be heard before the full board on Aug. 23.
Both sides can request a judicial review -- but if Kennedy's campaign wins its ballot challenge, his name would still be on the ballot pending the judicial review.
The Kennedy campaign did not immediately respond to a request for comment. The campaign last month told the New York Times "he has always considered New York to be his permanent home, though he has lived elsewhere temporarily, including in California.".... |
jiabing24/GID-pet-segmentation | jiabing24 | 2024-07-02T12:33:29Z | 0 | 0 | segmentation-models-pytorch | [
"segmentation-models-pytorch",
"safetensors",
"semantic-segmentation",
"pytorch",
"image-segmentation",
"license:mit",
"region:us"
] | image-segmentation | 2024-07-02T12:31:56Z | ---
library_name: segmentation-models-pytorch
license: mit
pipeline_tag: image-segmentation
tags:
- semantic-segmentation
- pytorch
- segmentation-models-pytorch
languages:
- python
---
# FPN Model Card
Table of Contents:
- [Load trained model](#load-trained-model)
- [Model init parameters](#model-init-parameters)
- [Model metrics](#model-metrics)
- [Dataset](#dataset)
## Load trained model
```python
import segmentation_models_pytorch as smp
model = smp.FPN.from_pretrained("GID-pet-segmentation")
```
## Model init parameters
```python
model_init_params = {
"encoder_name": "resnet34",
"encoder_depth": 5,
"encoder_weights": "imagenet",
"decoder_pyramid_channels": 256,
"decoder_segmentation_channels": 128,
"decoder_merge_policy": "add",
"decoder_dropout": 0.2,
"in_channels": 4,
"classes": 1,
"activation": None,
"upsampling": 4,
"aux_params": None
}
```
## Model metrics
```json
[
{
"test_per_image_iou": 0.6289815902709961,
"test_dataset_iou": 0.7612584233283997
}
]
```
## Dataset
Dataset name: GID
## More Information
- Library: https://github.com/qubvel/segmentation_models.pytorch
- Docs: https://smp.readthedocs.io/en/latest/
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) |
Dragonfriend/pattern | Dragonfriend | 2024-07-02T12:32:07Z | 0 | 0 | null | [
"license:llama2",
"region:us"
] | null | 2024-07-02T12:32:07Z | ---
license: llama2
---
|
linoyts/pop_tart_no_clip_skip | linoyts | 2024-07-02T13:09:00Z | 0 | 0 | diffusers | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"diffusers-training",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | text-to-image | 2024-07-02T12:32:29Z | ---
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- diffusers-training
- text-to-image
- diffusers
- lora
- template:sd-lora
widget:
- text: 'a <s0><s1> pack of pop tarts in pizza flavor'
output:
url:
"image_0.png"
- text: 'a <s0><s1> pack of pop tarts in pizza flavor'
output:
url:
"image_1.png"
- text: 'a <s0><s1> pack of pop tarts in pizza flavor'
output:
url:
"image_2.png"
- text: 'a <s0><s1> pack of pop tarts in pizza flavor'
output:
url:
"image_3.png"
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a <s0><s1> pack of pop tarts
license: openrail++
---
# SDXL LoRA DreamBooth - linoyts/pop_tart_no_clip_skip
<Gallery />
## Model description
### These are linoyts/pop_tart_no_clip_skip LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`pop_tart_no_clip_skip.safetensors` here 💾](/linoyts/pop_tart_no_clip_skip/blob/main/pop_tart_no_clip_skip.safetensors)**.
- Place it on your `models/Lora` folder.
- On AUTOMATIC1111, load the LoRA by adding `<lora:pop_tart_no_clip_skip:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
- *Embeddings*: download **[`pop_tart_no_clip_skip_emb.safetensors` here 💾](/linoyts/pop_tart_no_clip_skip/blob/main/pop_tart_no_clip_skip_emb.safetensors)**.
- Place it on it on your `embeddings` folder
- Use it by adding `pop_tart_no_clip_skip_emb` to your prompt. For example, `a pop_tart_no_clip_skip_emb pack of pop tarts`
(you need both the LoRA and the embeddings as they were trained together for this LoRA)
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
from huggingface_hub import hf_hub_download
from safetensors.torch import load_file
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('linoyts/pop_tart_no_clip_skip', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='linoyts/pop_tart_no_clip_skip', filename='pop_tart_no_clip_skip_emb.safetensors', repo_type="model")
state_dict = load_file(embedding_path)
pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
image = pipeline('a <s0><s1> pack of pop tarts in pizza flavor').images[0]
```
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
## Trigger words
To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:
to trigger concept `TOK` → use `<s0><s1>` in your prompt
## Details
All [Files & versions](/linoyts/pop_tart_no_clip_skip/tree/main).
The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
LoRA for the text encoder was enabled. False.
Pivotal tuning was enabled: True.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
|
panosgriz/covid_el_paraphrase-multilingual-MiniLM-L12-v2 | panosgriz | 2024-07-02T12:33:18Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"dataset_size:1440",
"loss:MultipleNegativesRankingLoss",
"arxiv:1908.10084",
"arxiv:1705.00652",
"base_model:sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
"autotrain_compatible",
"endpoints_compatible",
"text-embeddings-inference",
"region:us"
] | sentence-similarity | 2024-07-02T12:32:50Z | ---
base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
datasets: []
language: []
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:1440
- loss:MultipleNegativesRankingLoss
widget:
- source_sentence: Ποια είναι η ομοιότητα αμινοξέων μεταξύ των IFITM 1, IFITM 2 και
IFITM 3;
sentences:
- 'αναλυση mh ( ιος, φυλο ( γυναικα / αρρεν ) ) προσαρμοσμενη για los ( < 4 η ≥4
ετη ), οι πιθανοτητες μολυνσης παρεμειναν σημαντικες μεταξυ των ηλικιωμενων κατοικων
( ≥86 ετων ) : nov + / ανδρες ( αναλογια πιθανοτητων ( or ( mh ) ) : 1, 64, 95
% διαστημα εμπιστοσυνης ( ci ) : 1, 16 – 2, 30 ) και flu + / θηλυκο και αρσενικο
( αντιστοιχα or ( mh ) : 1, 50, ci : 1, 27 – 1, 79 και 1, 73, ci : 1, 28 – 2,
33 ). στη'
- '##5 περιοριζεται κυριως στα κυτταρα οστεοβλαστων [ 18, 19, 27 ], ενω οι αλλες
πρωτεινες ifitm εκφραζονται παντου ( ii ). ομοιοτητα αλληλουχιας αμινοξεων : η
αλληλουχια αμινοξεων του ifitm5 ειναι σχετικα ανομοια με τις πρωτεινες ifitm1
- 3 ( ~ 65 % ομοιοτητα ), ενω οι πρωτεινες ifitm1 - 3 μοιραζονται ~ 85 % ομοιοτητα
μεταξυ τους ( εικονα 1 - c ). επιπλεον, το ifitm5 εχει μια περιοχη πλουσια σε
ασπαρτικο στην c - τερματικη περιοχη, η οποια θα μπορουσε να εμπλεκεται στη δεσμευση
ασβεστιου ( εικονα 1 -'
- 'οι εργαζομενοι στον τομεα της υγειας θα πρεπει να λαμβανουν τις ακολουθες προφυλαξεις
: συμπληρωστε τα μετρα προληψης και ελεγχου λοιμωξεων, συμπεριλαμβανομενης της
υγιεινης των χεριων. σιγουρευτειτε οτι το δωματιο οπου ο ασθενης φροντιζει ειναι
καλα αεριζομενος, ανοιγοντας παραθυρα, εαν ειναι απαραιτητο. παροχη οδηγιων στους
φροντιστες και τα μελη του νοικοκυριου για τον καθαρισμο και την απολυμανση στο
σπιτι, καθως και για τη διαχειριση αποβλητων, πλυντηριου και σκευη που σχετιζονται
με τον ασθενη. αναζητηστε απο τον ασθενη να φοραει ιατρικη μασκα κατα την παροχη
φροντιδας η σε αποσταση ενος μετρου. αποθηκευση περιορισμου του αριθμου των μελων
του νοικοκυριου κατα τη διαρκεια επισκεψεων και διατηρησης τουλαχιστον αποστασης
1 μετρου. αφαιρεστε'
- source_sentence: Ποια είναι μερικά ψηφιακά εργαλεία που χρησιμοποιούνται για την
υποστήριξη εντοπισμού επαφών; Πώς μπορούν να ενισχύσουν τις διαδικασίες εντοπισμού
επαφών;
sentences:
- δεν ξερουμε ποτε θα τελειωσει η πανδημια, αλλα γνωριζουμε οτι εξαρταται απο καθε
ατομο που συμβαλλει στη διακοπη της εξαπλωσης του ιου. οι θυσιες που κανατε με
το να μην δειτε τους φιλους σας και με το να μην πατε στο σχολειο για λιγο, και
αλλες δραστηριοτητες, ειναι η συμβολη σας στην καταπολεμηση της πανδημιας. βαζοντας
τις κοινωνιες και τις οικονομιες σε αναμονη, εχουμε μειωσει την ικανοτητα του
ιου να εξαπλωθει μεσω των κοινοτητων μας. αυτα τα αμυντικα μετρα εχουν βοηθησει
να περιοριστει η βλαβη που μπορει να προκαλεσει ο ιος, και μας αγορασε χρονο για
να μαθουμε περισσοτερα για τον ιο και να βρουμε λυσεις ωστε να μπορεσουμε να επιστρεψουμε
σε εναν πιο οικειο
- '##02c704 ; huang, lijuan ; nie, shaofa ; liu, zengyan ; yu, hongjie ; yan, weirong
; xu, yihuaημερομηνια : 2011 - 05 - 16doi : 10. 1186 / 1471 - 2334 - 11 - 128αδεια
: cc - byabstract : ιστορικο : η κινα διατρεχει τον μεγαλυτερο κινδυνο της πανδημιας
( h1n1 ) 2009 λογω του τεραστιου πληθυσμου της και του υψηλου πληθυσμου της. η
ασαφης κατανοηση και η αρνητικη σταση απεναντι'
- οσον αφορα τα ηλεκτρονικα εργαλεια και την τεχνολογια των πληροφοριων μπορουν
να χρησιμοποιηθουν για την ενισχυση της αποτελεσματικοτητας των διαδικασιων εντοπισμου
επαφης, και χρησιμοποιουνται επι του παροντος σε αυτες τις περιπτωσεις υγειας.
ωστοσο, το εν λογω εργατικο δυναμικο μπορει να κατακλυζεται γρηγορα στο πλαισιο
της εκτεταμενης μεταδοσης sars - cov - 2. τα ηλεκτρονικα εργαλεια και η τεχνολογια
πληροφοριων μπορουν να χρησιμοποιηθουν για την ενισχυση της αποτελεσματικοτητας
των υπηρεσιων εντοπισμου επαφων, καθως και για την αποφυγη της χρησης των εν λογω
εργαλειων. ψηφιακα εργαλεια που υποστηριζουν τις διαδικασιες εντοπισμου επαφων
μπορουν να χωριζονται σε γενικες γραμμες σε τρεις κατηγοριες που βασιζονται στη
λειτουργια δημοσιας υγειας κατα τη διαρκεια συγκεκριμενων σταδιων της διαδικασιας
εντοπισμου επαφων
- source_sentence: Σχετίζονται οι σύγχρονοι ιοί της γρίπης με τον ιό της ισπανικής
γρίπης του 1918;
sentences:
- '##bdtrp - m4hr ) και εχουμε κανει προκαταρκτικη ερευνα σχετικα με την ανασταλτικη
τους δραση εναντι των κυτταρων που διαμεσολαβουνται απο τον hiv - 1 env. συντηξη
16. στην παρουσα μελετη, σχεδιασαμε ενα νεο τεχνητο πεπτιδιο, το ap3 ( εικ. 1a
), με στοχο την εφαρμογη της δομης " m - t hook " για τη σταθεροποιηση της αλληλεπιδρασης
του τεχνητου πεπτιδιου με τον υδροφοβο θυλακα στο τριμερες gp41 nhr 17, 18. μετα
απο διεξοδικη μελετη της αντιικης του δρασης, της βιοχημικης'
- '##ου α σε 648 δειγματα κοπρανων διαφορετικων ζωικων ειδων απο τη βορειοανατολικη
μεσοπεριοχη της πολιτειας παρα της βραζιλιας, η οποια χαρακτηριζεται ως αστικοποιημενη
περιοχη με θραυσματα δασων. τα δειγματα κοπρανων συλλεχθηκαν απο τον οκτωβριο
του 2014 εως τον απριλιο του 2016 και υποβληθηκαν σε ποιοτικη αλυσιδωτη αντιδραση
πολυμερασης σε πραγματικο χρονο ( rt - qpcr ), χρησιμοποιωντας το γονιδιο nsp3
ως στοχο. παρατηρηθηκε οτι το 27, 5 % ( 178 / 648 ) των δειγματων παρουσιασε θετικα
αποτελεσματα για rva, με 178 δειγματα κατανεμημενα σε πτηνα ( 23, 6 % ), κυνοδοντες'
- ( 7 ). ο αντικτυπος αυτης της πανδημιας δεν περιοριστηκε στο 191871919. ολες οι
πανδημιες γριπης α απο εκεινη την εποχη, και μαλιστα σχεδον ολες οι περιπτωσεις
γριπης α παγκοσμιως ( εκτος απο τις ανθρωπινες μολυνσεις απο ιους των πτηνων οπως
ο h5n1 και ο h7n7 ), εχουν προκληθει απο απογονους του ιου του 1918, συμπεριλαμβανομενων
των « παρασυρομενων » ιων h1n1 hn2n2 και των ιων h2n2. ιους. τα τελευταια αποτελουνται
απο βασικα γονιδια απο τον ιο του 1918, ενημερωμενα απο ενσωματωμενα στη συνεχεια
γονιδια
- source_sentence: Ποια είναι η θέση της ΠΟΥ σχετικά με τη χρήση του φυτικού υλικού
Artemisia για την πρόληψη ή τη θεραπεία της ελονοσίας ή/και COVID-19;
sentences:
- 'αποφασιζοντας να κλεισουν, να κλεισουν εν μερει η να ανοιξουν ξανα σχολεια θα
πρεπει να καθοδηγηθουν απο μια προσεγγιση με βαση τον κινδυνο, να μεγιστοποιηθουν
τα εκπαιδευτικα, ευεξια και υγεια για τους μαθητες, τους εκπαιδευτικους, το προσωπικο
και την ευρυτερη κοινοτητα, και να συμβαλουν στην προληψη μιας νεας εστιας covid
- 19 στην κοινοτητα. πολλα στοιχεια θα πρεπει να αξιολογουνται για την αποφαση
για την επανενωση των σχολειων η τη διατηρηση τους ανοικτα : η επανεκπαιδευση
του covid - 19 σε τοπικο επιπεδο : αυτο μπορει να διαφερει απο το ενα μερος σε
αλλο σε μια χωραπλεονεκτηματα και κινδυνοι : ποια ειναι τα πιθανα οφελη και'
- οι πιο ευρεως χρησιμοποιουμενες αντιμαλατικες θεραπειες, θεραπειες συνδυασμου
με βαση την αρτεμισινη ( acts ), παραγονται χρησιμοποιωντας την καθαρη ενωση αρτεμισινινης
που εξαγεται απο το φυτο artemisia annua. υπηρξαν αναφορες οτι τα προιοντα η τα
εκχυλισματα ( π. χ. φυτικα τσαι η δισκια ) που παραγονται απο το φυτικο υλικο
artemisia μπορει να εχουν προληπτικη η θεραπευτικη επιδραση στο covid - 19. ωστοσο,
τα διαθεσιμα in vitro στοιχεια δειχνουν οτι τα καθαρισμενα προιοντα αρτεμισινινης
η a. annua φυτικα προιοντα η εκχυλισματα δεν εχουν σημαντικη επιδραση κατα του
covid - 19 σε συγκεντρωσεις που
- την ανιχνευση της θερμοκρασιας του σωματος των επιβατων που φευγουν απο τη γουχαν
σε αεροδρομια, σιδηροδρομικους σταθμους, σταθμους λεωφορειων μεγαλων αποστασεων
και τερματικους σταθμους επιβατων. απο τις 17 ιανουαριου, συνολικα σχεδον 0, 3
εκατομμυρια ανθρωποι ειχαν δοκιμαστει για τη θερμοκρασια του σωματος [ 23 ]. στη
γουχαν, υπαρχουν περιπου 2, 87 εκατομμυρια μετακινουμενος πληθυσμος [ 24 ]. υποθεσαμε
οτι 0, 1 εκατομμυρια ανθρωποι μετακινουνταν στην πολη της γουχαν την ημερα απο
τις 10 ιανουαριου 2020 και πιστευουμε οτι αυτος ο αριθμος θα αυξανοταν ( κυριως
λογω των χειμερινων διακοπων και των διακοπων της κινεζικης πρωτοχρονιας ) μεχρι
τις 24 ιανουαριου
- source_sentence: Η WHO συνιστά την υδροξυχλωροκίνη ως θεραπεία για το COVID-19;
sentences:
- ολα τα εμβολια με χρηση εκτακτης αναγκης who ειναι εξαιρετικα αποτελεσματικα στην
προληψη σοβαρων ασθενειων, νοσηλειας και θανατου λογω covid - 19. θα πρεπει να
αποδεχτειτε το εμβολιο που προσφερονται πρωτα και να εμβολιαστειτε αμεσως μολις
ειναι η σειρα σας για τη μειωση του κινδυνου σας. μην καθυστερησετε να εμβολιαστειτε,
εκτος εαν σας συμβουλευσει ο παροχος υγειονομικης περιθαλψης σας, καθως αυτο θα
μπορουσε να σας θεσει σε κινδυνο covid - 19. το getting εμβολιαζομενο θα μπορουσε
να σας σωσει τη ζωη. τον απριλιο 2020, who δημοσιευσε τα ελαχιστα κριτηρια για
το ποσο αποτελεσματικα εμβολια covid - 19 θα πρεπει να ειναι για
- βαση για την εναρξη περαιτερω μελετων σχετικα με την παθογενεση και τη βελτιστοποιηση
του σχεδιασμου των διαγνωστικων, αντιικων και εμβολιαστικων στρατηγικων για αυτην
την αναδυομενη μολυνση. η υποοικογενεια coronavirinae, οικογενεια coronavirdiae,
ταξη nidovirales. υπαρχουν τεσσερα γενη covs, συγκεκριμενα, ο αλφακορωνοιος (
αcov ), ο βητα κορωνοιος ( βcov ), ο δελτακορωνοιος ( δcov ) και ο γαμμακορωνοιος
( γcov ) [ 1 ]. εξελικτικες αναλυσεις εχουν
- η συσταση αυτη βασιζεται σε 30 δοκιμες με περισσοτερους απο 10 000 ασθενεις με
covid - 19. η υδροξυχλωροκινη δεν μειωσε τη θνησιμοτητα, την αναγκη η τη διαρκεια
του μηχανικου εξαερισμου. η ληψη υδροξυχλωροκινης για τη θεραπεια του covid -
19 μπορει να αυξησει τον κινδυνο καρδιακων προβληματων, διαταραχων του αιματος
και των λεμφαδενων, νεφρικων βλαβων, ηπατικων προβληματων και ανεπαρκειας. περισσοτερες
πληροφοριες μπορουν να βρεθουν εδω. ωστοσο, τα υδροξυχλωροκινη και τα χλωροκινη
ειναι ασφαλη για χρηση σε ασθενεις με αυτοανοσες ασθενειες η ελονοσια ( οχι covid
- 19 ).
---
# SentenceTransformer based on sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2). It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) <!-- at revision bf3bf13ab40c3157080a7ab344c831b9ad18b5eb -->
- **Maximum Sequence Length:** 128 tokens
- **Output Dimensionality:** 384 tokens
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
```
## Usage
### Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("panosgriz/covid_el_paraphrase-multilingual-MiniLM-L12-v2")
# Run inference
sentences = [
'Η WHO συνιστά την υδροξυχλωροκίνη ως θεραπεία για το COVID-19;',
'η συσταση αυτη βασιζεται σε 30 δοκιμες με περισσοτερους απο 10 000 ασθενεις με covid - 19. η υδροξυχλωροκινη δεν μειωσε τη θνησιμοτητα, την αναγκη η τη διαρκεια του μηχανικου εξαερισμου. η ληψη υδροξυχλωροκινης για τη θεραπεια του covid - 19 μπορει να αυξησει τον κινδυνο καρδιακων προβληματων, διαταραχων του αιματος και των λεμφαδενων, νεφρικων βλαβων, ηπατικων προβληματων και ανεπαρκειας. περισσοτερες πληροφοριες μπορουν να βρεθουν εδω. ωστοσο, τα υδροξυχλωροκινη και τα χλωροκινη ειναι ασφαλη για χρηση σε ασθενεις με αυτοανοσες ασθενειες η ελονοσια ( οχι covid - 19 ).',
'ολα τα εμβολια με χρηση εκτακτης αναγκης who ειναι εξαιρετικα αποτελεσματικα στην προληψη σοβαρων ασθενειων, νοσηλειας και θανατου λογω covid - 19. θα πρεπει να αποδεχτειτε το εμβολιο που προσφερονται πρωτα και να εμβολιαστειτε αμεσως μολις ειναι η σειρα σας για τη μειωση του κινδυνου σας. μην καθυστερησετε να εμβολιαστειτε, εκτος εαν σας συμβουλευσει ο παροχος υγειονομικης περιθαλψης σας, καθως αυτο θα μπορουσε να σας θεσει σε κινδυνο covid - 19. το getting εμβολιαζομενο θα μπορουσε να σας σωσει τη ζωη. τον απριλιο 2020, who δημοσιευσε τα ελαχιστα κριτηρια για το ποσο αποτελεσματικα εμβολια covid - 19 θα πρεπει να ειναι για',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
<!--
### Direct Usage (Transformers)
<details><summary>Click to see the direct usage in Transformers</summary>
</details>
-->
<!--
### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Dataset
#### Unnamed Dataset
* Size: 1,440 training samples
* Columns: <code>sentence_0</code>, <code>sentence_1</code>, <code>sentence_2</code>, and <code>label</code>
* Approximate statistics based on the first 1000 samples:
| | sentence_0 | sentence_1 | sentence_2 | label |
|:--------|:----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-----------------------------------|
| type | string | string | string | list |
| details | <ul><li>min: 7 tokens</li><li>mean: 22.63 tokens</li><li>max: 60 tokens</li></ul> | <ul><li>min: 11 tokens</li><li>mean: 123.43 tokens</li><li>max: 128 tokens</li></ul> | <ul><li>min: 38 tokens</li><li>mean: 125.83 tokens</li><li>max: 128 tokens</li></ul> | <ul><li>size: 2 elements</li></ul> |
* Samples:
| sentence_0 | sentence_1 | sentence_2 | label |
|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------|
| <code>Τι είναι το Tamiflu;</code> | <code>/ h3n2 ) " ειχαν ως αποτελεσμα τον θανατο περιπου 2 - 3 εκατομμυριων ανθρωπων παγκοσμιως [ 1, 2 ]. σημερα, οι απογονοι τους συνεχιζουν να προκαλουν την πλειονοτητα των λοιμωξεων απο γριπη στους ανθρωπους [ 3 ]. απο οσο εχει μαθευτει οτι το πιο αποτελεσματικο αντιικο φαρμακο ειναι ο αναστολεας της νευραμινιδασης ( na ), ο οποιος στοχευει τις γλυκοπρωτεινες να του ιου της γριπης α και β [ 4, 5 ]. η απελευθερωση νεων ιοσωματων απο το μολυσμενο κυτταρο ειναι ενα βασικο βημα στον κυκλο ζωης της γριπης και χρειαζονται νευραμινιδαση ( na ) για να</code> | <code>επειδη μπορει να δαπανατε ακομη περισσοτερο χρονο online απο ο, τι πριν, ειναι σοφο να γνωριζετε μερικους απο τους κινδυνους. πρωτα, να ειστε προσεκτικοι τι περιεχομενο μοιραζεστε online. επικινδυνη συμπεριφορα, οπως sexting η ανταλλαγη σεξουαλικου περιεχομενου, μπορει να σας εκθεσει σε κινδυνους εκβιασμου, παρενοχλησης και ταπεινωσης. δευτερον, δαπανωντας περισσοτερο χρονο σε απευθειας συνδεση μπορει να αυξησει τις πιθανοτητες οτι θα μπορουσε να ερθει σε επαφη με online θηρευτες που επιδιωκουν σεξουαλικα εκμεταλλευση των νεων ανθρωπων. οταν μπροστα απο καμερες φορουν καταλληλα ρουχα και να αποφευχθει η χρηση ιδιωτικων υπηρεσιων αμεσης ανταλλαγης μηνυματων στην επικοινωνια σας με τους δασκαλους. επιπλεον, ειναι σημαντικο να σημειωθει</code> | <code>[0.01247549057006836, -0.0069751739501953125]</code> |
| <code>Τα κορτικοστεροειδή έχουν παρενέργειες;</code> | <code>οταν λαμβανονται για συντομο χρονικο διαστημα, τα κορτικοστεροειδη ειναι γενικα ασφαλη και δεν σχετιζονται με σοβαρες ανεπιθυμητες ενεργειες. τα κορτικοστεροειδη μπορουν να αυξησουν τα επιπεδα γλυκοζης στο αιμα σε ασθενεις και συνισταται σε ολα τα ατομα να παρακολουθουν το σακχαρο του αιματος τους. οι πιθανες επιπλοκες απο κορτικοστεροειδη περιλαμβανουν κακη επουλωση τραυματος, ανοσοκαταστολη ( που μπορει να αυξησει τον κινδυνο για αλλες λοιμωξεις ) και αυξημενο σακχαρο στο αιμα, το οποιο εαν δεν παρακολουθειται μπορει να οδηγησει σε διαβητικη κετοξεωση η μη ελεγχομενο διαβητη. οταν χρησιμοποιειται για μια περιοδο μεγαλυτερη των δυο εβδομαδων, τα κορτικοστεροειδη μπορει να σχετιζονται</code> | <code>αν ενα παιδι πρεπει να παει στο σχολειο εξαρταται απο την κατασταση της υγειας του, την τρεχουσα μεταδοση του covid - 19 στην κοινοτητα του, και τα προστατευτικα μετρα που εχει θεσπισει το σχολειο και η κοινοτητα για να μειωσει τον κινδυνο μεταδοσης covid - 19. ενω τα τρεχοντα στοιχεια δειχνουν οτι ο κινδυνος σοβαρης ασθενειας για τα παιδια ειναι μικροτερος συνολικα απο ο, τι για τους ενηλικες, μπορουν να ληφθουν ειδικες προφυλαξεις για την ελαχιστοποιηση του κινδυνου μολυνσης μεταξυ των παιδιων, και τα οφελη της επιστροφης στο σχολειο θα πρεπει επισης να εξεταστουν. συγκεκριμενα στοιχεια δειχνουν οτι τα ατομα με υποκειμενες παθησεις οπως το χρονιο αναπνευστικο ασθμα ( μεσαιο εως</code> | <code>[-8.302862167358398, 7.267459869384766]</code> |
| <code>8. Τι μπορώ να κάνω για να προστατεύσω τον εαυτό μου από παραλλαγές;</code> | <code>για να προστατεψετε τον εαυτο σας και αλλους απο τις παραλλαγες covid - 19 : κρατηστε αποσταση τουλαχιστον 1 μετρο απο τους αλλουςφορεσε μια καλα εξοπλισμενη μασκα πανω απο το στομα και τη μυτη σουανοιξτε τα παραθυραβηχας η φτερνισου σε ενα λυγισμενο αγκωνα η ιστοκαθαριστε τα χερια σας συχναπροσεξτε να εμβολιαστειτε, μολις ειναι η σειρα σας</code> | <code>. τα αποτελεσματα της ερευνας παρεχουν ακριβεστερες εκτιμησεις για τα ποσοστα επιπολασμου της φυματιωσης απο ο, τι εκτιμα ο που και μπορουν να χρησιμοποιηθουν για την αξιολογηση της πιθανοτητας η κινα να επιτυχει παγκοσμιους στοχους για τον επιπολασμο της φυματιωσης. η επαρχια σαντονγκ εχει πληθυσμο 94 εκατομμυριων. ειναι μια σχετικα ανεπτυγμενη επαρχια με κατα κεφαλην αεπ 1, 6 φορες τον εθνικο μεσο ορο το 2010 [ 5 ]. το ποσοστο επικρατησης της φυματιωσης στο shandong ηταν χαμηλοτερο σε συγκριση με το μεσο ποσοστο της κινας το 2000 [ 3 ]. αντιπροσωπευτικα δειγματα πληθυσμου ληφθηκαν</code> | <code>[-8.404379844665527, 7.3363752365112305]</code> |
* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
```json
{
"scale": 20.0,
"similarity_fct": "cos_sim"
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 16
- `num_train_epochs`: 20
- `multi_dataset_batch_sampler`: round_robin
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 16
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `learning_rate`: 5e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1
- `num_train_epochs`: 20
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.0
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: False
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: False
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: round_robin
</details>
### Training Logs
| Epoch | Step | Training Loss |
|:-------:|:----:|:-------------:|
| 5.5556 | 500 | 0.7188 |
| 11.1111 | 1000 | 0.0506 |
| 16.6667 | 1500 | 0.0161 |
### Framework Versions
- Python: 3.8.10
- Sentence Transformers: 3.0.1
- Transformers: 4.39.3
- PyTorch: 2.3.1+cu118
- Accelerate: 0.30.1
- Datasets: 2.20.0
- Tokenizers: 0.15.2
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
```
#### MultipleNegativesRankingLoss
```bibtex
@misc{henderson2017efficient,
title={Efficient Natural Language Response Suggestion for Smart Reply},
author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
year={2017},
eprint={1705.00652},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
<!--
## Glossary
*Clearly define terms in order to be accessible across audiences.*
-->
<!--
## Model Card Authors
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
-->
<!--
## Model Card Contact
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
--> |
mssongit/Qwen2-7b-orpo-2 | mssongit | 2024-07-02T12:39:17Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:33:33Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
jiabing24/GID_segmentation | jiabing24 | 2024-07-02T12:34:21Z | 0 | 0 | segmentation-models-pytorch | [
"segmentation-models-pytorch",
"safetensors",
"semantic-segmentation",
"pytorch",
"image-segmentation",
"license:mit",
"region:us"
] | image-segmentation | 2024-07-02T12:33:46Z | ---
library_name: segmentation-models-pytorch
license: mit
pipeline_tag: image-segmentation
tags:
- semantic-segmentation
- pytorch
- segmentation-models-pytorch
languages:
- python
---
# FPN Model Card
Table of Contents:
- [Load trained model](#load-trained-model)
- [Model init parameters](#model-init-parameters)
- [Model metrics](#model-metrics)
- [Dataset](#dataset)
## Load trained model
```python
import segmentation_models_pytorch as smp
model = smp.FPN.from_pretrained("GID_segmentation")
```
## Model init parameters
```python
model_init_params = {
"encoder_name": "resnet34",
"encoder_depth": 5,
"encoder_weights": "imagenet",
"decoder_pyramid_channels": 256,
"decoder_segmentation_channels": 128,
"decoder_merge_policy": "add",
"decoder_dropout": 0.2,
"in_channels": 4,
"classes": 1,
"activation": None,
"upsampling": 4,
"aux_params": None
}
```
## Model metrics
```json
[
{
"test_per_image_iou": 0.6289815902709961,
"test_dataset_iou": 0.7612584233283997
}
]
```
## Dataset
Dataset name: GID
## More Information
- Library: https://github.com/qubvel/segmentation_models.pytorch
- Docs: https://smp.readthedocs.io/en/latest/
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) |
jenniecoveria/MOMO_STRONG_NASAL_VOICE_RVC_V2_WEIGHTS.GG | jenniecoveria | 2024-07-02T12:39:23Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:34:32Z | Entry not found |
qsdcfqsdfcxqfqs/Will-Tim-Scott-become-Trumps-No-2-4d-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:35:48Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:34:35Z | ---
language:
- en
---
[]()
read the full article here : https://www.taskade.com/d/gRwr4wda4QjUpT8L?share=view&view=uNycNujf83JseLLQ&as=list
Source : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4423251421&Connector=https://unitedstatednews.com
Flash News : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us2551451155&Connector=https://unitedstatednews.com
Biden last Talk : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_1111534523&Connector=https://unitedstatednews.com
Russian Ukrain Breaking News : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1552332232&Connector=https://unitedstatednews.com
Other Sources :
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us2512213514&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us3511544552&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_3244133435&Connector=https://unitedstatednews.com
https://snippet.host/tojxpk
https://bitbin.it/eksCaTzc/
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_522&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3331225231&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us4455143412&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3442423451&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3122414432&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us3542322225&Connector=https://unitedstatednews.com
https://prod.pastebin.prod.webservices.mozgcp.net/DfDNWRip
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_5431545532&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4113215354&Connector=https://unitedstatednews.com
South Carolina Sen. Tim Scott, who withdrew from the race for the Republican nomination last November, has been campaigning hard for Donald Trump - and he has his eye on becoming vice president. But will the GOP's only Black senator get Trump's VP nod?
Raised by a single mom in Charleston, South Carolina, Scott became the first Black Republican elected to any office in the Palmetto State since the 19th century when he won his 1995 Charleston city council race. In 2008, he won a seat in the statehouse and went on to the House of Representatives in 2010. After one term, then-South Carolina Gov. Nikki Haley appointed him to fill a vacant Senate seat, and he has easily won reelection three times. He is arguably the most recognizable elected Black Republican in office today.
Trump recently said Scott was a "better surrogate" than a candidate thanks to the latter's enthusiastic efforts to whip up excitement for the former president's campaign. If Scott detected any damnation by faint praise in the remark, he certainly didn't let it on, saying Trump was "right" when asked about the remarks on Fox.
Eurasia Group's Jon Lieber says Scott "has a great personal story, he's a telegenic presence, he's inoffensive, and he has a good reputation in the Senate that comes along with relationships and domestic policy chops." That said, Lieber isn't convinced Scott can help Trump consolidate support with voters who aren't sold on the former president.
Scott recently launched a $14 million campaign to help Trump make inroads with minority voters in seven swing states, which could ease concerns like Lieber's if successful. We're watching how it plays out, and whether Scott's affability helps temper Trump's hard edge with voters..... |
qsdcfqsdfcxqfqs/DPS-new-superintendent-lays-out-top-priorities-vision-Im-ready-to-get-to-work-4d-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:36:16Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:35:01Z | ---
language:
- en
---
[]()
read the full article here : https://paste.imirhil.fr/?4aba5a6917c1feaa#99V9OxJ8W02AZ+XwA2Y66eVo/jScrLK8bbB6YY7vIWo=
Source : https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_545&Connector=https://unitedstatednews.com
Flash News : https://wow.curseforge.com/paste/1986621b
Biden last Talk : https://bitbin.it/2l7dpENH/
Russian Ukrain Breaking News : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us5432235521&Connector=https://unitedstatednews.com
Other Sources :
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us4444315311&Connector=https://unitedstatednews.com
https://dev.bukkit.org/paste/cda95cb4
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_3135255341&Connector=https://unitedstatednews.com
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_132&Connector=https://unitedstatednews.com
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_135&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_1413323245&Connector=https://unitedstatednews.com
https://paste.toolforge.org/view/9533c47a
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_112&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_2214223144&Connector=https://unitedstatednews.com
https://tempaste.com/b36zdjT3y2r
https://paste.feed-the-beast.com/view/11286bd7
https://paste.enginehub.org/PVr8hBMNc
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3441545224&Connector=https://unitedstatednews.com
https://tempaste.com/fDpUj8jpCYH
DURHAM, N.C. (WTVD) -- Dr. Anthony Lewis is coming to Durham Public Schools as the new superintendent.
Dr. Lewis will have a lot on his plate when he arrives. A district-wide pay dispute that started in fall of 2023 and stretched into 2024 is what led to the resignation of the former superintendent Pascal Mubenga and left some employees feeling burnt out.
"I was leaving anyway, because of my health," Monica Watson said. "But the pay was really making you really want to leave."
Watson, who said she was a head cook for DPS for 18 years, said she hopes the new superintendent makes a difference for staff salaries across the board.
"I hope this new superintendent comes in with a good attitude and pay these teachers right," Watson said. "But mainly focus on these children."
Dr. Lewis comes from Lawrence, Kansas, where he served as superintendent of Lawrence Public Schools since 2018. He was an educator for more than two decades prior to this position.
"Dr. Lewis's proven track record and experience met the high standards we and the community hold for this district's performance," DPS BOE Chairwoman Bettina Umstead said.
He was selected among four finalists on Saturday out of more than 100 applicants and shared some of his top goals with ABC11 on Monday.
"We have to make sure that we are addressing their needs, their concerns, communicating with them, listening to them to make sure that they feel like their voices are heard," Lewis said.
If educators are thriving, then so will students, according to Lewis, who also considered their mental health.
"It's really critically important that when we continue to build relationships with our students, foster relationships with our students, investing and just spending time with our students ... we're making sure that we have the resources and support for students so that (they) feel comfortable going to adults to share any concerns that they may have," Lewis said.
He told ABC11 after the announcement Saturday that he credits his grandmother for inspiring him to enter the education field. She worked as a cafeteria manager in schools for 40 years.
Lewis will start the position as DPS superintendent on August 12, 2024, through June 30, 2028..... |
geonheechoi22/EEVE-Korean-10.8B-v1.0-Q4_K_M-GGUF | geonheechoi22 | 2024-07-02T12:36:09Z | 0 | 0 | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:yanolja/EEVE-Korean-10.8B-v1.0",
"license:apache-2.0",
"region:us"
] | null | 2024-07-02T12:35:42Z | ---
base_model: yanolja/EEVE-Korean-10.8B-v1.0
license: apache-2.0
tags:
- generated_from_trainer
- llama-cpp
- gguf-my-repo
model-index:
- name: yanolja/EEVE-Korean-10.8B-v1.0
results: []
---
# geonheechoi22/EEVE-Korean-10.8B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`yanolja/EEVE-Korean-10.8B-v1.0`](https://huggingface.co/yanolja/EEVE-Korean-10.8B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/yanolja/EEVE-Korean-10.8B-v1.0) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
```bash
brew install llama.cpp
```
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama-cli --hf-repo geonheechoi22/EEVE-Korean-10.8B-v1.0-Q4_K_M-GGUF --hf-file eeve-korean-10.8b-v1.0-q4_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo geonheechoi22/EEVE-Korean-10.8B-v1.0-Q4_K_M-GGUF --hf-file eeve-korean-10.8b-v1.0-q4_k_m.gguf -c 2048
```
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```
Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo geonheechoi22/EEVE-Korean-10.8B-v1.0-Q4_K_M-GGUF --hf-file eeve-korean-10.8b-v1.0-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo geonheechoi22/EEVE-Korean-10.8B-v1.0-Q4_K_M-GGUF --hf-file eeve-korean-10.8b-v1.0-q4_k_m.gguf -c 2048
```
|
darshanmakwana/DhwaniLM | darshanmakwana | 2024-07-02T12:39:55Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:35:44Z | Entry not found |
YYYYYYibo/full_vanilla_dpo_iter_1 | YYYYYYibo | 2024-07-02T18:09:26Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:updated",
"dataset:original",
"base_model:alignment-handbook/zephyr-7b-sft-full",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:36:12Z | ---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- updated
- original
model-index:
- name: full_vanilla_dpo_iter_1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# full_vanilla_dpo_iter_1
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
|
Peacoc/37_best_t_19_2 | Peacoc | 2024-07-02T12:38:46Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:36:39Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
thodsapon/V4_test | thodsapon | 2024-07-02T15:17:33Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"llama",
"text-generation-inference",
"unsloth",
"en",
"base_model:scb10x/llama-3-typhoon-v1.5-8b-instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-07-02T12:36:43Z | ---
base_model: scb10x/llama-3-typhoon-v1.5-8b-instruct
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- gguf
---
# Uploaded model
- **Developed by:** thodsapon
- **License:** apache-2.0
- **Finetuned from model :** scb10x/llama-3-typhoon-v1.5-8b-instruct
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
Alwaly/whisper-medium | Alwaly | 2024-07-02T20:57:10Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2024-07-02T12:37:17Z | Entry not found |
seunghoon34/gpt2-th-test | seunghoon34 | 2024-07-02T12:38:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:38:07Z | Entry not found |
qsdcfqsdfcxqfqs/25YearOld-Man-Kills-Stepfather-in-Songo-La-Maya-Santiago-de-Cuba-3e-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:39:29Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:38:12Z | ---
language:
- en
---
[]()
read the full article here : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3522321353&Connector=https://unitedstatednews.com
Source : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_4123231334&Connector=https://unitedstatednews.com
Flash News : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_1514253452&Connector=https://unitedstatednews.com
Biden last Talk : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1214223412&Connector=https://unitedstatednews.com
Russian Ukrain Breaking News : https://tempaste.com/Sr8r8IFcvj0
Other Sources :
https://huggingface.co/qsdcfqsdfcxqfqs/DPS-new-superintendent-lays-out-top-priorities-vision-Im-ready-to-get-to-work-4d-updated
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3531555253&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_2331452241&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1531335313&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1411341441&Connector=https://unitedstatednews.com
https://tempaste.com/KovxiTmpKPn
https://ctxt.io/2/AAAY6n8FFQ
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us4125114145&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4532455455&Connector=https://unitedstatednews.com
https://yamcode.com/the-unforgettable-journey-through-time-and-space
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us2345334154&Connector=https://unitedstatednews.com
https://dev.bukkit.org/paste/c1ef434e
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_3221155311&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1243344125&Connector=https://unitedstatednews.com
A man was murdered by his stepson in the municipality of Songo La Maya, in Santiago de Cuba, after attempting to intervene in a beating that the aggressor was inflicting on a woman. The victim has been identified as Reinier Nápoles Leliebre and the aggressor as Ronerkis Castelnaux, according to information shared on social media by journalist Yosmany Mayeta.
The tragic incident occurred on Saturday night near the feed factory in that municipality when the stepfather, nicknamed "Jabao," intervened in a fight between Ronerkis and his girlfriend. "Jabao tried to prevent his stepson from continuing to beat the woman, and that's why he was killed," one of the sources with knowledge of the case revealed to the aforementioned journalist.
Nápoles Leliebre did not survive the attack and was taken lifeless to the municipal clinic, where he reportedly remained for several hours until he was transferred to Legal Medicine. The alleged killer was captured on Sunday morning after being on the run for several hours. The victim was buried at four in the afternoon on that same June 30th.
As of the close of this report, no further details about the violent incident have been disclosed. This is the second murder reported in less than a month in Songo La Maya, as a man identified as Erlay Moya was also killed during a fight in that municipality at the end of June.
Last month, Beatriz Johnson Urrutia, First Secretary of the Party in Santiago de Cuba, warned during a meeting that they would not hesitate to combat crime and corruption in that province, where reports of various violent incidents have surged in recent months. "We are unwavering. We have never wavered! And we will not waver now," said Johnson. "We must do what needs to be done because what we are defending is very significant," she added..... |
lagy/test | lagy | 2024-07-02T12:38:13Z | 0 | 0 | null | [
"license:mit",
"region:us"
] | null | 2024-07-02T12:38:13Z | ---
license: mit
---
|
ozzyable/gemma-2b-it-lora | ozzyable | 2024-07-02T12:40:25Z | 0 | 0 | null | [
"safetensors",
"license:apache-2.0",
"region:us"
] | null | 2024-07-02T12:39:33Z | ---
license: apache-2.0
---
|
qsdcfqsdfcxqfqs/Supreme-Court-dissents-take-a-darker-tone-on-Trump-immunity-ruling-1f-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:41:02Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:39:42Z | ---
language:
- en
---
[]()
read the full article here : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_2141115225&Connector=https://unitedstatednews.com
Source : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4133251443&Connector=https://unitedstatednews.com
Flash News : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_5332112353&Connector=https://unitedstatednews.com
Biden last Talk : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_4555513321&Connector=https://unitedstatednews.com
Russian Ukrain Breaking News : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1341441452&Connector=https://unitedstatednews.com
Other Sources :
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_5352313555&Connector=https://unitedstatednews.com
https://paste2.org/nIN0FD9J
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us5352244133&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_2124434544&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us5155253254&Connector=https://unitedstatednews.com
https://www.wowace.com/paste/687fc464
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_332&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4231353425&Connector=https://unitedstatednews.com
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_255&Connector=https://unitedstatednews.com
https://binshare.net/LZWMlhjCnvLd7WwpjNub
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3135315421&Connector=https://unitedstatednews.com
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_345&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_4244241324&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_2252511535&Connector=https://unitedstatednews.com
Supreme Court Justice Sonia Sotomayor and Supreme Court Justice Ketanji Brown Jackson.
Supreme Court Justices Sonia Sotomayor, Ketanji Brown Jackson and Elena Kagan laid out grim visions of U.S. democracy in their joint written dissents to the court's Monday decision on former President Donald Trump's claim of presidential immunity from criminal prosecution.
"In every use of official power, the President is now a king above the law," Sotomayor wrote. "This majority's project will have disastrous consequences for the Presidency and for our democracy."
Jackson echoed her warning. "If the structural consequences of today's paradigm shift mark a step in the wrong direction, then the practical consequences are a five-alarm fire that threatens to consume democratic self-governance and the normal operations of our Government."
As written opinions go, the dissenters' alarm was "definitely striking," said Alison LaCroix, a legal historian at the University of Chicago.
"It's a darker tone. It's more of a warning," LaCroix told CNBC in an interview about the three dissents, written by the only three justices nominated to the court by Democratic presidents.
In a 6-3 opinion along partisan lines, the Supreme Court on Monday ruled that presidents are immune from criminal prosecution on a case-by-case basis: Exempt when charges relate to "official" presidential acts and not exempt from charges of "unofficial" acts.
The immediate effect was to send special counsel Jack Smith's criminal election fraud case against Trump back to U.S. District Judge Tanya Chutkan. She will have to rule on whether the criminal charges pertain to official acts Trump carried out as president, granting him immunity, or his private conduct.
The added complexity will almost certainly delay the trial until after the Nov. 5 election, a victory for Trump and the GOP..... |
MarcGrumpyOlejak/VerwaltungsAnthologie_Disco_simbad_7B | MarcGrumpyOlejak | 2024-07-02T14:42:42Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"de",
"en",
"base_model:MarcGrumpyOlejak/VerwaltungsAnthologie_clear_simbad_7B",
"base_model:DiscoResearch/DiscoLM_German_7b_v1",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:40:09Z | ---
base_model:
- MarcGrumpyOlejak/VerwaltungsAnthologie_clear_simbad_7B
- DiscoResearch/DiscoLM_German_7b_v1
library_name: transformers
tags:
- mergekit
- merge
language:
- de
- en
license: apache-2.0
---
# VerwaltungsAnthologie_Disco_simbad_7B
This is my second "usable" POC of a german based text summarizer based upon 6 different models via an intermediate merge. Mass comparisons based upon tagesschau texts still have to be done.
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
### GGUF-versions
For usage with f.ex. llama.cpp you can find the most popular GGUF-versions from Q2 up to Q8 in a seperate repository: [
VerwaltungsAnthologie_Disco_simbad_7B_GGUF](https://huggingface.co/MarcGrumpyOlejak/VerwaltungsAnthologie_Disco_simbad_7B_GGUF)
## Prompts for Retrieval
Mainly based on DiscoLM, you can use their provided examples – and simplify it a little bit. For possible problems with the "EOT"-Tag I'll just always add the sentence to finish the answer with 3 ###.
### Prompt example
```
### System:
Hallo! Du bist eine höfliche KI-Assistenz und hilfst dem User, Texte besser zu verstehen.
Du schreibst nur auf Deutsch.
Es folgt ein Kontext, den Du lernst. Danach folgt eine Aufgabe, die Du ausführst.
Fasse sprachlich doppelte Punkte zusammen.
Deine Aufgabe beendest Du mit \"###\".
Für die folgende Aufgabe steht dir zwischen den Tags BEGINCONTEXT und ENDCONTEXT eine Quelle zum Lernen zur Verfügung. Die eigentliche Aufgabe oder Frage ist zwischen BEGININSTRUCTION und ENDINSTRUCTION zu finden. Beantworte diese ausschließlich mit Informationen aus der gelernten Quelle.
### User Prompt:
BEGINCONTEXT
{Your main text}
ENDCONTEXT
BEGININSTRUCTION
Du schreibst nur Leichtes Deutsch.
Schreibe einen kurzen Klappentext mit maximal 2 Sätzen für eine Einleitung.
Wenn Du feststellst, dass Dein Sätz länger als 3 Sätze ist, kürze ihn auf 2 Sätze.
ENDINSTRUCTION
### Model Answer:
Klappentext:
```
## Three examples
(to be done)
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1)
* [MarcGrumpyOlejak/VerwaltungsAnthologie_clear_simbad_7B](https://huggingface.co/MarcGrumpyOlejak/VerwaltungsAnthologie_clear_simbad_7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
#
#
slices:
- sources:
- model: DiscoResearch/DiscoLM_German_7b_v1
layer_range: [0, 32]
- model: MarcGrumpyOlejak/VerwaltungsAnthologie_clear_simbad_7B
layer_range: [0, 32]
merge_method: slerp
base_model: MarcGrumpyOlejak/VerwaltungsAnthologie_clear_simbad_7B
embed_slerp: true
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
name: VerwaltungsAnthologie_Disco_simbad_7B
``` |
richard-park/llama-3-8B-inst-unsloth-ko-merged | richard-park | 2024-07-02T14:00:04Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"unsloth",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:40:29Z | ---
library_name: transformers
tags:
- unsloth
- trl
- sft
license: llama3
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
mayarmostafa/videomae-base-finetuned-bleeding-exp_5 | mayarmostafa | 2024-07-02T12:56:53Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"videomae",
"video-classification",
"endpoints_compatible",
"region:us"
] | video-classification | 2024-07-02T12:40:32Z | Entry not found |
darshanmakwana/AgniLM | darshanmakwana | 2024-07-02T12:41:05Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:41:05Z | Entry not found |
qsdcfqsdfcxqfqs/How-to-break-up-with-a-narcissist-4c-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:42:59Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:41:44Z | ---
language:
- en
---
[]()
read the full article here : https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_322&Connector=https://unitedstatednews.com
Source : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_1452455424&Connector=https://unitedstatednews.com
Flash News : https://huggingface.co/qsdcfqsdfcxqfqs/25YearOld-Man-Kills-Stepfather-in-Songo-La-Maya-Santiago-de-Cuba-3e-updated
Biden last Talk : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us4425432454&Connector=https://unitedstatednews.com
Russian Ukrain Breaking News : https://commie.io/#WaoFy644
Other Sources :
https://tempaste.com/j5eSQhKoC9w
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1345131534&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us2133333115&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4143221543&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_3414423334&Connector=https://unitedstatednews.com
https://www.wowace.com/paste/e60ac04f
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_4113234534&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_1533535251&Connector=https://unitedstatednews.com
https://paste.enginehub.org/7tmwc6Rch
https://tempaste.com/b6rxJ7oOnEm
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us3451535353&Connector=https://unitedstatednews.com
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_144&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_5415455555&Connector=https://unitedstatednews.com
https://justpaste.it/exwv7
Zung set about researching the condition in depth, interviewing psychiatrists and psychologists, and developing strategies for negotiating with narcissists in her legal practice.
"I decided to apply what I was learning about narcissism to my cases and all of a sudden I started to see movement with these extremely difficult, high-conflict personalities -- and that was when I realised I was on to something," she says.
Already the author of two books on negotiation, she distilled what she had learned into her latest book -- Slay the Bully: How to Negotiate with a Narcissist and Win.
She also runs digital programmes on negotiation and shares her tips and knowledge with thousands of subscribers on her YouTube channel.
Below, she shares stories from her practice and advice on how to spot and manage a split from a narcissist.
Read More: Narcissism: Why it's less obvious in women than in men - but can be just as dangerous
Narcissism is a personality disorder where people seem to have an inflated sense of their importance combined with a lack of empathy for others.
Yet, underneath it all is deep insecurity and emptiness, and a black hole that can never be filled, so they attempt to fill it with what is called "narcissistic supply\.... |
weifar/FTAudit-gemma-8b-mix-v0.1 | weifar | 2024-07-02T12:46:29Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"unsloth",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"bitsandbytes",
"region:us"
] | text-generation | 2024-07-02T12:42:26Z | ---
library_name: transformers
tags:
- unsloth
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
olonok/phi-3-mini-128k-instruct-bfloat16-gguf | olonok | 2024-07-02T12:48:17Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:42:50Z | Entry not found |
qsdcfqsdfcxqfqs/South-Africa-gets-a-new-cabinet-g2-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:44:23Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:43:08Z | ---
language:
- en
---
[]()
read the full article here : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us2115352134&Connector=https://unitedstatednews.com
Source : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_1423544342&Connector=https://unitedstatednews.com
Flash News : https://paste.imirhil.fr/?00681ab2db88f14d#SvJIzafTI96FWQwvhUFihi74HnGnd5zMXlzubWse3RM=
Biden last Talk : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_1154243311&Connector=https://unitedstatednews.com
Russian Ukrain Breaking News : https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4355113511&Connector=https://unitedstatednews.com
Other Sources :
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_2541255523&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_5253431441&Connector=https://unitedstatednews.com
https://tempaste.com/create-paste
https://tempaste.com/DyEmkeVntF4
https://www.pastery.net/svtyeg/
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us5453143314&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4111255343&Connector=https://unitedstatednews.com
https://tempaste.com/rF2K1doTTDO
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_5414543232&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us5131114125&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us2121444525&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1314221312&Connector=https://unitedstatednews.com
https://huggingface.co/qsdcfqsdfcxqfqs/Will-Tim-Scott-become-Trumps-No-2-4d-updated
https://sebsauvage.net/paste/?e8cef9c10c2ae25b#qVE0LMZfzFM0HVsyMB6b4veKN7vvwhFXAfprCaKF8sw=
Cyril Ramaphosa attends the oath of office ceremony for his second term as South African President at the Union Buildings in Pretoria, South Africa, 19 June 2024.
President Cyril Ramaphosa unveiled South Africa's new cabinet on Sunday, ushering in a new era of coalition governance for the Rainbow Nation. The move comes after the African National Congress lost its majority for the first time in 30 years in the May election, forcing Ramphosa's party to enter a coalition government with its historic rival, the white-majority Democratic Alliance.
Ramaphosa announced that 32 positions were awarded across seven parties. The ANC retains the majority of seats, with 20, and has kept key ministries, including finance, foreign affairs (crucial in allowing continuity in their pro-Palestinian agenda and ICJ case), trade, and defense. The DA, after demanding 11 slots, was only assigned six, including key ministries like education and infrastructure, and DA leader John Steenhuisen was appointed agriculture minister. The remainder were divided among smaller parties.
Absent, but not silent. The uMkhonto weSizwe party, led by former President Jacob Zuma, came in third in the election but refused to join the coalition. The party has since found its voice as the outspoken leader of the Parliament's opposition alliance.
Tensions remain high. The ANC has been systematically trying to dilute the DA's influence by expanding the governing coalition to include 10 opposition parties, assigning them minimal portfolios. The difficult negotiations signaled converging economic policies, particularly on health care and Black economic empowerment, as well as deep distrust, with Ramaphosa accusing the DA of attempting to form a "parallel government."
Will they play nice? As seen by the weeks of deadlocked cabinet negotiations, the parties still struggle to set aside decades of animosity, which could lead to instability, but the ANC and DA - at least for now - are committed to working together. We'll be watching to see whether the coalition is stable enough to survive Zuma's dedicated political instigation..... |
amanpatkar/machine-translation-en-hi | amanpatkar | 2024-07-02T12:43:26Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"marian",
"text2text-generation",
"generated_from_trainer",
"dataset:hind_encorp",
"base_model:Helsinki-NLP/opus-mt-en-hi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | 2024-07-02T12:43:12Z | ---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-hi
tags:
- generated_from_trainer
datasets:
- hind_encorp
model-index:
- name: machine-translation-en-hi
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# machine-translation-en-hi
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on the hind_encorp dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
xkronosx/domainnet-quickdraw_denoising_frequency_test | xkronosx | 2024-07-02T13:15:26Z | 0 | 0 | diffusers | [
"diffusers",
"safetensors",
"region:us"
] | null | 2024-07-02T12:43:34Z | Entry not found |
nainfox/korean_qwen2-0.5b | nainfox | 2024-07-02T12:43:46Z | 0 | 0 | null | [
"license:mit",
"region:us"
] | null | 2024-07-02T12:43:46Z | ---
license: mit
---
|
NikolayKozloff/Phi-3-mini-4k-instruct-latest_version-July_2024-Q8_0-GGUF | NikolayKozloff | 2024-07-02T13:02:23Z | 0 | 1 | null | [
"gguf",
"nlp",
"code",
"llama-cpp",
"gguf-my-repo",
"text-generation-inference",
"text-generation",
"en",
"base_model:microsoft/Phi-3-mini-4k-instruct",
"license:mit",
"region:us"
] | text-generation | 2024-07-02T12:44:53Z | ---
base_model: microsoft/Phi-3-mini-4k-instruct
language:
- en
license: mit
license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
- nlp
- code
- llama-cpp
- gguf-my-repo
- text-generation-inference
inference:
parameters:
temperature: 0
widget:
- messages:
- role: user
content: Can you provide ways to eat combinations of bananas and dragonfruits?
---
# NikolayKozloff/Phi-3-mini-4k-instruct-Q8_0-GGUF
This model was converted to GGUF format from [`microsoft/Phi-3-mini-4k-instruct`](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
```bash
brew install llama.cpp
```
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama-cli --hf-repo NikolayKozloff/Phi-3-mini-4k-instruct-Q8_0-GGUF --hf-file phi-3-mini-4k-instruct-q8_0.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo NikolayKozloff/Phi-3-mini-4k-instruct-Q8_0-GGUF --hf-file phi-3-mini-4k-instruct-q8_0.gguf -c 2048
```
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```
Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo NikolayKozloff/Phi-3-mini-4k-instruct-Q8_0-GGUF --hf-file phi-3-mini-4k-instruct-q8_0.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo NikolayKozloff/Phi-3-mini-4k-instruct-Q8_0-GGUF --hf-file phi-3-mini-4k-instruct-q8_0.gguf -c 2048
``` |
Temo27Anas/videomae-base-ft-8768 | Temo27Anas | 2024-07-02T12:45:32Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:45:32Z | Entry not found |
erikhsos/cbbier_LoRA_lr1-6 | erikhsos | 2024-07-02T13:41:51Z | 0 | 0 | diffusers | [
"diffusers",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | text-to-image | 2024-07-02T12:46:21Z | ---
license: openrail++
library_name: diffusers
tags:
- text-to-image
- text-to-image
- diffusers-training
- diffusers
- lora
- template:sd-lora
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: '[CB] bottle photo'
widget:
- text: A [CB] bottle with a pink label
output:
url: image_0.png
- text: A [CB] bottle with a pink label
output:
url: image_1.png
- text: A [CB] bottle with a pink label
output:
url: image_2.png
- text: A [CB] bottle with a pink label
output:
url: image_3.png
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - erikhsos/cbbier_LoRA_lr1-6
<Gallery />
## Model description
These are erikhsos/cbbier_LoRA_lr1-6 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
## Trigger words
You should use [CB] bottle photo to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](erikhsos/cbbier_LoRA_lr1-6/tree/main) them in the Files & versions tab.
## Intended uses & limitations
#### How to use
```python
# TODO: add an example code snippet for running this diffusion pipeline
```
#### Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
## Training details
[TODO: describe the data used to train the model] |
qsdcfqsdfcxqfqs/West-Side-residents-still-struggling-with-cleanup-one-year-after-major-flooding-dc-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:47:46Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:46:33Z | ---
language:
- en
---
[]()
read the full article here : https://paste.feed-the-beast.com/view/2ba4a29f
Source : https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_2315142534&Connector=https://unitedstatednews.com
Flash News : https://authors-old.curseforge.com/paste/11649e32
Biden last Talk : https://wow.curseforge.com/paste/fc3a7562
Russian Ukrain Breaking News : https://huggingface.co/qsdcfqsdfcxqfqs/Robert-F-Kennedy-Jrs-candidacy-challenged-in-Illinois-by-President-Bidenaligned-group-aa-updated
Other Sources :
https://privatebin.net/?c4337d6ac8e2355f#HGXvcFzyGQin4fpocHZkYVTNHG6SsMa2oXCH3A7YYqYS
https://yamcode.com/raw/global-markets-rally-after-positive-economic-data
https://commie.io/#kCTo9Mzh
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us2445453525&Connector=https://unitedstatednews.com
https://paste2.org/aWDYUnUG
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_4513343442&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_2535344321&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_2324543523&Connector=https://unitedstatednews.com
https://huggingface.co/qsdcfqsdfcxqfqs/The-Christian-Science-Monitor-Daily-for-July-1-2024-2a-updated
https://tempaste.com/u86Az3olp8d
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_421&Connector=https://unitedstatednews.com
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us5544141435&Connector=https://unitedstatednews.com
https://huggingface.co/qsdcfqsdfcxqfqs/South-Africa-gets-a-new-cabinet-g2-updated
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us4215525345&Connector=https://unitedstatednews.com
CHICAGO (WLS) -- It has been one year since devastating floods on Chicago's West Side.
Last year, torrential rains hit the city, leading to major flooding. Hundreds of homes were damaged, and residents still desperately need help.
A year later, John Carr recalled, his basement had waist-deep water. The water receded, leaving damage and growing mold, still.
"I just don't have the money. I do little at a time now, but I just don't have the money," Carr said.
His story is not unusual. Volunteers with the Westside Long Term Recovery Group said they respond to a resident needing help, and they find others on the block with mold and damage that exist from flooding last June and July.
"Some areas, it's chest-high," said volunteer Larry Rogers. "It's not healthy for him, his kids or anyone in this building, because the ventilation system goes up, and everyone here is breathing it."
On Monday, community organizers and residents reported that the group has helped 85 homeowners get mold out of their basements, and they have more than 200 on their list.
"People are inhaling mold. There are some people who have not been checked out with the mold," said resident Roman Morrow.
State Rep. LaShawn Ford also spoke on Monday.
"People are traumatized. You have mental health problems from the flood, physical health problems," Ford said.
SEE ALSO | FEMA funds available to Cook County residents impacted by flooding after Biden declares disaster
Despite over $300 million approved by Federal Emergency Management Agency for Cook County, residents on the West Side and elsewhere told ABC7 the money was not enough, and the appeals process is slow and complicated.
Volunteers said most of the residents waiting for help are seniors on fixed incomes.
"You can only do so much free work, especially when chemicals cost $200 a bottle. This is a struggle we are in here," said Jacqueline Reed with the Westside Long Term Recovery Group.
Some of the flood victims used their basement units for rentals to balance their budgets, but with mold remediation and repairs needed in those units, that income was lost, making their budgets even tighter.
Carr said he is out rental income and is appealing for FEMA money.
In the meantime, the volunteers of Westside Long Term Recovery Group said, some grants have allowed the work to continue, but they welcome more help as their waitlist grows..... |
whizzzzkid/whizzzzkid_410_5 | whizzzzkid | 2024-07-02T12:47:19Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-02T12:47:00Z | Entry not found |
costineltiribejea/Llama2 | costineltiribejea | 2024-07-02T12:47:13Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:47:13Z | Entry not found |
mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF | mradermacher | 2024-07-02T15:08:55Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:NeverSleep/Noromaid-7B-0.4-DPO",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-07-02T12:47:19Z | ---
base_model: NeverSleep/Noromaid-7B-0.4-DPO
language:
- en
library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 | |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 | |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 | |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 | |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/Noromaid-7B-0.4-DPO-i1-GGUF/resolve/main/Noromaid-7B-0.4-DPO.i1-Q6_K.gguf) | i1-Q6_K | 6.0 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his hardware for calculating the imatrix for these quants.
<!-- end -->
|
whizzzzkid/whizzzzkid_411_3 | whizzzzkid | 2024-07-02T12:48:20Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-02T12:48:01Z | Entry not found |
chenghenry/gemma-1.1-7b-it-GGUF | chenghenry | 2024-07-02T13:10:24Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"base_model:google/gemma-1.1-7b-it",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-07-02T12:48:16Z | ---
license: gemma
library_name: transformers
base_model: google/gemma-1.1-7b-it
--- |
HarshitJoshi/SmokeDetectIndia | HarshitJoshi | 2024-07-02T12:48:46Z | 0 | 0 | null | [
"license:mit",
"region:us"
] | null | 2024-07-02T12:48:46Z | ---
license: mit
---
|
whizzzzkid/whizzzzkid_412_4 | whizzzzkid | 2024-07-02T12:49:25Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-02T12:49:00Z | Entry not found |
dungeon59/project1 | dungeon59 | 2024-07-02T12:49:09Z | 0 | 0 | null | [
"license:mit",
"region:us"
] | null | 2024-07-02T12:49:09Z | ---
license: mit
---
|
qsdcfqsdfcxqfqs/UN-group-demands-release-of-exPakistan-prime-minister-Imran-Khan-g4-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:51:02Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:49:43Z | ---
language:
- en
---
[]()
read the full article here : https://privatebin.net/?edec75736ef3c57f#EUWQTdebh6FBJMKBADHtpqKWotg4p7eyLpALsWuHmNp4
Source : https://tempaste.com/eM4fDLLt0lh
Flash News : https://tempaste.com/1S9KyU5FBLR
Biden last Talk : https://huggingface.co/qsdcfqsdfcxqfqs/How-to-break-up-with-a-narcissist-4c-updated
Russian Ukrain Breaking News : https://tempaste.com/QvDYKUd8d8J
Other Sources :
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohack_account_us1551222143&Connector=https://unitedstatednews.com
https://rift.curseforge.com/paste/84323470
https://tempaste.com/afQMFID383A
https://yamcode.com/global-markets-rally-after-positive-economic-data
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_4154214315&Connector=https://unitedstatednews.com
https://justpaste.it/9wsxl
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_2422212441&Connector=https://unitedstatednews.com
https://tempaste.com/zTTglEcCFqk
https://tempaste.com/6Oax6q5sGgm
https://binshare.net/EYA45Nr3ob3nFHUanhje
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_514&Connector=https://unitedstatednews.com
https://huggingface.co/qsdcfqsdfcxqfqs/Supreme-Court-dissents-take-a-darker-tone-on-Trump-immunity-ruling-1f-updated
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_1215211155&Connector=https://unitedstatednews.com
https://yamcode.com/whispers-of-ancient-secrets-in-a-modern-world
The Geneva-based United Nations Working Group on Arbitrary Detention made this demand after examining Khan's case in which he was sentenced last year on charges of corruption.
Khan has been facing multiple prison sentences since 2022 when he was ousted through a vote of no-confidence in the parliament. There was no immediate comment from the government of Prime Minister Shehbaz Sharif, who replaced Khan after his ousting.
Khan has been held in prison since August 2023 when a court awarded him a three-year prison sentence after finding him guilty of hiding assets after selling state gifts. It led to a ban on Khan from taking part in politics and contesting the February 8 elections, which his party says were rigged.
The Election Commission of Pakistan, which oversaw the vote, has denied the vote-rigging allegations.
Despite his conviction in multiple cases, Khan remains the leading opposition figure.
Khan's Pakistan Tehreek-e-Insaf party, or PTI, which has a strong presence in the parliament, hailed the demand of the UN group, which said Khan's detention in the graft case "had no legal basis and appears to have been intended to disqualify him from running for office.
It said "Khan was detained for exercising his right to freedom of expression or opinion" and that he was also denied a "fair trial and due process rights".
The UN working group demanded Khan's immediate release, saying it was an "appropriate remedy".
The group further said Khan's conviction in the graft case was "part of a much larger campaign of repression targeting the PTI generally and Khan specifically".
It said: "In the lead up to Pakistan's February 2024 general elections, PTI candidates were arrested, tortured, and intimidated into leaving the party; PTI rallies were disrupted and blocked; and the party was deprived of its iconic cricket bat symbol, forcing its candidates to run as independents."
The UN group also said Khan himself was facing more than 150 politically motivated criminal cases, and just days before the election, he was convicted in three more cases and sentenced to an additional 10 years, 14 years, and seven years in prison, respectively.
"For Khan, who is 71 years old, the combined prison term of 34 years amounts to a life sentence," the group said. Khan's spokesman Zulfi Bukhari, welcomed the group's findings and demands for Khan's release.
Khan's party won the most seats in the February 8 vote but fell short of a majority to form a government..... |
Lkynnn/opt_1Decoder_Layer | Lkynnn | 2024-07-02T13:35:23Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:50:09Z | Entry not found |
whizzzzkid/whizzzzkid_413_1 | whizzzzkid | 2024-07-02T12:50:30Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-02T12:50:11Z | Entry not found |
maolili/shadiao | maolili | 2024-07-02T12:53:54Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-07-02T12:50:31Z | ---
license: apache-2.0
---
|
Disty0/sd3_randn_aura_vae | Disty0 | 2024-07-02T22:44:40Z | 0 | 0 | diffusers | [
"diffusers",
"safetensors",
"license:cc-by-sa-4.0",
"diffusers:StableDiffusion3Pipeline",
"region:us"
] | text-to-image | 2024-07-02T12:50:37Z | ---
license: cc-by-sa-4.0
---
Randomly initialized SD3 Transformer weights with RMSNorm and AuraDiffusion 16ch VAE.
Only for training purposes. Don't use this if you don't know what you are doing.
Requires Diffusers with RMSNorm and Attentionless VAE support: https://github.com/Disty0/diffusers/tree/sd3_rms_norm_and_attentionless_vae |
whizzzzkid/whizzzzkid_414_7 | whizzzzkid | 2024-07-02T12:51:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-02T12:51:14Z | Entry not found |
naturesleafcbd/Natures-Leaf-CBD-Gummies | naturesleafcbd | 2024-07-02T12:56:07Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:51:59Z | <p><span style="font-weight: 400;">In the realm of regular wellbeing supplements, CBD (Cannabidiol) has acquired huge ubiquity for its likely helpful advantages. Among the heap of CBD items accessible, </span><span style="color: #008000;"><a style="color: #008000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> stand apart for their benefit, taste, and viability. This article digs into what Nature’s Leaf CBD Gummies are, the way they work, their advantages, fixings, aftereffects, how to utilize them, and client surveys.</span></p>
<p> </p>
<p><strong>➲➲✅ Product Name: </strong><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>Nature's Leaf CBD Gummies</strong></a></span></p>
<p><strong>➲➲✅ Rating: ⭐⭐⭐⭐⭐</strong></p>
<p><strong>➲➲✅ Side Effects: </strong><span style="color: #ff6600;"><a style="color: #ff6600;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>No Major Side Effects</strong></a></span></p>
<p><strong>➲➲✅ Availability: </strong><span style="color: #800080;"><a style="color: #800080;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>In Stock #1 Product in the USA</strong></a></span></p>
<p> </p>
<h2><strong>What are Nature’s Leaf CBD Gummies?</strong></h2>
<p><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> are edible confections that contain CBD oil. They arrive in various flavors, varieties, and shapes, and are intended to make consuming CBD a charming and simple experience. These chewy candies offer a tactful and clear method for ingesting CBD, furnishing a steady measurement with each stick.</span></p>
<p> </p>
<p style="text-align: center;"><a href="https://healthcare24hrs.com/naturesleafcbdgummies"><img src="https://i.ibb.co/3ctvVf5/pain-1.jpg" alt="pain-1" border="0" /></a></p>
<p> </p>
<h1 style="text-align: center;"><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>(SALE IS LIVE) Click Here TO Order Nature’s Leaf CBD Gummies And Get Up to 50 % Off On First Buy</strong></a></span></h1>
<p> </p>
<h2><strong>How Do Nature’s Leaf CBD Gummies Work?</strong></h2>
<p><span style="font-weight: 400;">CBD connects with the body's endocrinologist framework (ECS), a mind boggling cell-flagging framework that assumes a part in directing a scope of capabilities and cycles, including rest, temperament, craving, and resistant reaction.</span></p>
<p> </p>
<p><span style="font-weight: 400;">The ECS involves endocrinologists, receptors, and catalysts. At the point when you consume CBD, it impacts these receptors, especially CB1 and CB2 receptors, which are basically tracked down in the focal sensory system and the fringe sensory system, separately. Thus, CBD can assist with keeping up with balance (homeostasis) inside the body.</span></p>
<p> </p>
<h2><strong>Advantages of Nature’s Leaf CBD Gummies:</strong></h2>
<p><strong>Relief from discomfort:</strong><span style="font-weight: 400;"> One of the most acclaimed advantages of CBD is its capacity to reduce torment. CBD Gummies can assist with overseeing persistent agony by affecting endocrinologist receptor movement, diminishing irritation, and collaborating with synapses.</span></p>
<p><strong>Decreased Nervousness and Sorrow:</strong><span style="font-weight: 400;"> CBD has been displayed to lessen uneasiness and despondency in both human and creature studies. Its regular way to deal with overseeing psychological wellness issues is a favored decision for some people looking for elective medicines.</span></p>
<p><strong>Further developed Rest Quality:</strong><span style="font-weight: 400;"> CBD Gummies might assist with a sleeping disorder and further develop generally speaking rest quality by tending to the main drivers like tension, stress, and torment.</span></p>
<p><strong>Mitigating Properties:</strong><span style="font-weight: 400;"> CBS's calming properties can be helpful for people with provocative circumstances like joint inflammation.</span></p>
<p><strong>Neuroprotective Properties:</strong><span style="font-weight: 400;"> Exploration proposes that CBD has neuroprotective properties, which can be helpful for neurological issues like epilepsy and various sclerosis.</span></p>
<p><strong>Helpful and Tactful:</strong><span style="font-weight: 400;"> Chewy candies are not difficult to take and offer a prudent method for consuming CBD, making them reasonable for use in different settings.</span></p>
<p> </p>
<h2><strong>Fixings in Nature’s Leaf CBD Gummies:</strong></h2>
<p><span style="font-weight: 400;">The essential fixing in </span><span style="color: #008000;"><a style="color: #008000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> is CBD oil, got from great hemp plants. Different fixings regularly include:</span></p>
<p> </p>
<p><strong>Sugars:</strong><span style="font-weight: 400;"> Normal sugars or sugar substitutes to give a charming taste.</span></p>
<p><strong>Flavorings: </strong><span style="font-weight: 400;">Regular natural product flavors to improve the taste.</span></p>
<p><strong>Gelatin or Gelatin:</strong><span style="font-weight: 400;"> Used to give the chewy candies their chewy surface. Gelatin is utilized for veggie lover choices.</span></p>
<p><strong>Colorings: </strong><span style="font-weight: 400;">Regular colorings are obtained from products of the soil.</span></p>
<p><strong>Extra Enhancements:</strong><span style="font-weight: 400;"> Some chewy candies might incorporate extra nutrients or enhancements for added medical advantages.</span></p>
<p> </p>
<h2><strong>Results of Nature’s Leaf CBD Gummies:</strong></h2>
<p><span style="font-weight: 400;">While CBD is for the most part all around endured, certain individuals might encounter aftereffects. These can include:</span></p>
<p> </p>
<p><strong>Dry Mouth:</strong><span style="font-weight: 400;"> CBD can diminish spit creation, prompting a dry sensation in the mouth.</span></p>
<p><span style="font-weight: 400;">Tiredness: In higher dosages, CBD might cause sluggishness, which can be advantageous for those with rest issues yet may slow down everyday exercises for other people.</span></p>
<p><strong>Stomach related Issues:</strong><span style="font-weight: 400;"> A few people could encounter loose bowels or changes in craving and weight.</span></p>
<p> </p>
<p><strong>Communication with Drugs:</strong><span style="font-weight: 400;"> CBD can interface with specific prescriptions, so it's fundamental to talk with a medical care supplier prior to beginning CBD, particularly in the event that you are on different meds.</span></p>
<p> </p>
<p style="text-align: center;"><a href="https://healthcare24hrs.com/naturesleafcbdgummies"><img src="https://i.ibb.co/M81xq73/pain.png" alt="pain" border="0" /></a></p>
<p> </p>
<h1 style="text-align: center;"><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>Should See: Visit the Official Website Nature’s Leaf CBD Gummies [Up As far as possible Open Here]</strong></a></span></h1>
<p> </p>
<h2><strong>Step by step instructions to Utilize Nature’s Leaf CBD Gummies:</strong></h2>
<p><span style="font-weight: 400;">Utilizing </span><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> is clear. Here are a few basic rules:</span></p>
<p> </p>
<p><strong>Measurement: </strong><span style="font-weight: 400;">Begin with the suggested dose on the bundling. Commonly, this is one to two chewy candies each day. Change the measurement depending on the situation in light of your body's reaction and wanted impacts.</span></p>
<p> </p>
<p><strong>Timing: </strong><span style="font-weight: 400;">Take the chewy candies all at once that lines up with your objectives. For example, take them in the first part of the day for tension help or at night to help rest.</span></p>
<p> </p>
<p><strong>Consistency: </strong><span style="font-weight: 400;">For the best outcomes, use CBD Gummies reliably. Ordinary use can assist with keeping a consistent degree of CBD in your framework.</span></p>
<p><span style="font-weight: 400;">Capacity: Store the chewy candies in a cool, dry spot to keep up with their power and newness.</span></p>
<p> </p>
<h2><strong>Who Ought to Utilize Nature’s Leaf CBD Gummies?</strong></h2>
<p><span style="color: #008000;"><a style="color: #008000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> can be helpful for a great many people, including:</span></p>
<p> </p>
<p><strong>People with Persistent Torment:</strong><span style="font-weight: 400;"> Those experiencing conditions like joint inflammation or fibromyalgia may track down help with CBD Gummies.</span></p>
<p><strong>Individuals with Tension or Misery: </strong><span style="font-weight: 400;">CBD can offer a characteristic option in contrast to customary meds for overseeing nervousness and discouragement.</span></p>
<p><strong>Those with Rest Issues:</strong><span style="font-weight: 400;"> In the event that you battle with a sleeping disorder or unfortunate rest quality, CBD Gummies could assist with further developing your rest designs.</span></p>
<p><strong>People Looking for General Well Being:</strong><span style="font-weight: 400;"> CBD's capability to advance by and large equilibrium and prosperity can be profitable for anybody hoping to normally improve their wellbeing.</span></p>
<p> </p>
<p><span style="background-color: #ffcc00;"><strong>Buy Now Official website:-</strong></span></p>
<p><a href="https://startupcentrum.com/startup/natures-leaf-cbd-gummies-in-us"><strong>https://startupcentrum.com/startup/natures-leaf-cbd-gummies-in-us</strong></a></p>
<p> </p>
<p><span style="background-color: #ffcc00;"><strong>Official Facebook:-</strong></span></p>
<p><a href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/</strong></a></p>
<p><a href="https://www.facebook.com/buy.natures.leaf.CBD.Gummies.US/"><strong>https://www.facebook.com/buy.natures.leaf.CBD.Gummies.US/</strong></a></p>
<p> </p>
<p><span style="background-color: #ffcc00;"><strong>MAIN BLOGS :-</strong></span></p>
<p><a href="https://startupcentrum.com/talent/naturesleafcbd-gummies2"><strong>https://startupcentrum.com/talent/naturesleafcbd-gummies2</strong></a></p>
<p><a href="https://startupcentrum.com/startup/natures-leaf-cbd-gummies-buy-with-100-natural-ingredients-safe-to-use"><strong>https://startupcentrum.com/startup/natures-leaf-cbd-gummies-buy-with-100-natural-ingredients-safe-to-use</strong></a></p>
<p><a href="https://startupcentrum.com/startup/natures-leaf-cbd-gummies-in-us2"><strong>https://startupcentrum.com/startup/natures-leaf-cbd-gummies-in-us2</strong></a></p>
<p><a href="https://sites.google.com/view/naturesleafcbdgummies-in-us/"><strong>https://sites.google.com/view/naturesleafcbdgummies-in-us/</strong></a></p>
<p><a href="https://groups.google.com/g/natures-leaf-cbd-gummies-in-us/c/0ThrlVtXnnQ"><strong>https://groups.google.com/g/natures-leaf-cbd-gummies-in-us/c/0ThrlVtXnnQ</strong></a></p>
<p><a href="https://groups.google.com/g/natures-leaf-cbd-gummies-in-us/c/rFHU3QmAX3M"><strong>https://groups.google.com/g/natures-leaf-cbd-gummies-in-us/c/rFHU3QmAX3M</strong></a></p>
<p><a href="https://natures-leaf-cbd-gummies-us.company.site/"><strong>https://natures-leaf-cbd-gummies-us.company.site/</strong></a></p>
<p><a href="https://natures-leaf-cbd-gummies-us-2.jimdosite.com/"><strong>https://natures-leaf-cbd-gummies-us-2.jimdosite.com/</strong></a></p>
<p><a href="https://nature-s-leaf-cbd-gummies-official.webflow.io/"><strong>https://nature-s-leaf-cbd-gummies-official.webflow.io/</strong></a></p>
<p> </p>
<h2><strong>Where to purchase Nature’s Leaf CBD Gummies?</strong></h2>
<p><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> can be bought straightforwardly from the authority site. Purchasing straightforwardly from the maker guarantees you get bona fide items and can exploit limits or special offers. Furthermore, buying from the authority site gives admittance to client assistance and merchandise exchanges.</span></p>
<p> </p>
<p style="text-align: center;"><a href="https://healthcare24hrs.com/naturesleafcbdgummies"><img src="https://i.ibb.co/kq1jnKW/CBD-Gummies.jpg" alt="CBD-Gummies" border="0" /></a></p>
<p> </p>
<h1 style="text-align: center;"><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>(OFFICIAL Site) Click Here To Buy Nature’s Leaf CBD Gummies At The Most Reasonable Cost Right now!!</strong></a></span></h1>
<p> </p>
<h2><strong>End:</strong></h2>
<p><span style="color: #008000;"><a style="color: #008000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> offer a helpful and charming method for encountering the expected advantages of CBD. From help with discomfort and nervousness decrease to further developed rest and by and large prosperity, these chewy candies can be a significant expansion to your wellbeing routine.</span></p>
<p> </p>
<p><span style="font-weight: 400;">Likewise with any enhancement, it's vital to start with a lower portion and talk with a medical services supplier, particularly in the event that you have basic ailments or are taking different drugs. With their flavorful taste and potential medical advantages, </span><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> are a famous decision for those hoping to integrate CBD into their everyday daily schedule.</span></p> |
safoinetl/alzheimer_llm_model | safoinetl | 2024-07-02T12:52:03Z | 0 | 0 | null | [
"license:other",
"region:us"
] | null | 2024-07-02T12:52:03Z | ---
license: other
license_name: splinterai
license_link: LICENSE
---
|
whizzzzkid/whizzzzkid_415_6 | whizzzzkid | 2024-07-02T12:52:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-02T12:52:13Z | Entry not found |
richard-park/llama-3-8B-inst-unsloth-ko-lora | richard-park | 2024-07-02T14:00:28Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-07-02T12:53:12Z | ---
library_name: transformers
tags:
- unsloth
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
geonheechoi22/KULLM3-Q4_K_M-GGUF | geonheechoi22 | 2024-07-02T12:54:29Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"ko",
"base_model:nlpai-lab/KULLM3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-07-02T12:53:57Z | ---
base_model: nlpai-lab/KULLM3
language:
- en
- ko
library_name: transformers
license: apache-2.0
tags:
- llama-cpp
- gguf-my-repo
---
# geonheechoi22/KULLM3-Q4_K_M-GGUF
This model was converted to GGUF format from [`nlpai-lab/KULLM3`](https://huggingface.co/nlpai-lab/KULLM3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/nlpai-lab/KULLM3) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
```bash
brew install llama.cpp
```
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama-cli --hf-repo geonheechoi22/KULLM3-Q4_K_M-GGUF --hf-file kullm3-q4_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo geonheechoi22/KULLM3-Q4_K_M-GGUF --hf-file kullm3-q4_k_m.gguf -c 2048
```
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```
Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo geonheechoi22/KULLM3-Q4_K_M-GGUF --hf-file kullm3-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo geonheechoi22/KULLM3-Q4_K_M-GGUF --hf-file kullm3-q4_k_m.gguf -c 2048
```
|
qsdcfqsdfcxqfqs/UK-Jewish-political-candidate-harassed-over-stance-on-IsraelHamas-war-h3-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:55:31Z | 0 | 0 | null | [
"en",
"region:us"
] | null | 2024-07-02T12:54:13Z | ---
language:
- en
---
[]()
read the full article here : https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_552&Connector=https://unitedstatednews.com
Source : https://tempaste.com/qcYqQ7eCrsh
Flash News : https://tempaste.com/1kMw0vukksR
Biden last Talk : https://tempaste.com/c52YgjthJAm
Russian Ukrain Breaking News : https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_134&Connector=https://unitedstatednews.com
Other Sources :
https://tempaste.com/GFeoB4UJ7bL
https://tempaste.com/ZM9YgkuPVAB
https://tempaste.com/KGgUeY69TPT
https://tempaste.com/HgAy1mDoXn7
https://tempaste.com/jrAeC65RMZC
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_4525245233&Connector=https://unitedstatednews.com
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_3443125134&Connector=https://unitedstatednews.com
https://tempaste.com/I0J8MM86CoH
https://www.taskade.com/d/eFiMrArNRqEg98yV?share=view&view=z1eqaj2Zo7AYpVNq&as=list
https://dev.uc.apps.uri.edu/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentasnuevo_2255453243&Connector=https://unitedstatednews.com
https://tempaste.com/B57OCDBKppu
https://cicytex.juntaex.es/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=nuevo_hackear_cuenta_1122114443&Connector=https://unitedstatednews.com
https://www.sep.va.gov/sep/html/js/editor/ckeditor/editor/filemanager/browser/liferay/browser.html?id=Games_Free_Generator_423&Connector=https://unitedstatednews.com
https://huggingface.co/qsdcfqsdfcxqfqs/West-Side-residents-still-struggling-with-cleanup-one-year-after-major-flooding-dc-updated
The political candidate was invited to speak at the mosque, where worshippers told him "We don't want to engage with you people, we don't want to engage with you justifiers of child killers."
Rabbi Arnold Saunders, a candidate for the UK's Conservative Party, was invited to speak at Masjid Bilal Mosque in Manchester last month, where worshippers hounded him regarding his stance the Israel-Hamas war, footage of the event revealed.
"Don't come to the house of Allah and try to engage with us when we know that when you're in your own places you're saying it is good that they kill the children," a worshipper told Rabbi Saunders in reference to civilians killed in Gaza by IDF forces.
The Hamas-run Gaza health ministry has claimed that nearly 38,000 Palestinians have been killed in the conflict so far. However, the ministry does not distinguish between combatants and non-combatants.
Saunders was repeatedly asked to condemn the IDF and questioned if he voted for a ceasefire - despite not currently being an elected official with the capacity to vote on such an issue.
"We don't want to engage with you people, we don't want to engage with you justifiers of child killers," the worshipper said, in comments labelled as "blood libel" by the Campaign Against Antisemitism movement.
The worshipper, according to the footage, did not mention that hostages held captive in Gaza nor the over 1,200 people killed on October 7 by Hamas terrorists.
Jewish community condemn the incident
The Jewish Representative Council of Greater Manchester said in a statement: "Rabbi Saunders is a much respected communal figure and we unequivocally condemn his treatment in this video. It is unquestionably antisemitic and we expect action to be taken.
"The incident occurred following an invitation by the mosque to meet their congregants. As an organization we were delighted to invite and welcome members from the mosque to our hustings. The fact he has been attacked emphasizes how individuals are importing the tragic conflict taking place in Israel and Gaza onto the streets of the UK.
"This is manifesting itself in politicians campaigning in a general election being targeted, abused and unable to freely move around the constituencies they are seeking to represent. When politicians are unable to speak about their views in public, have meetings disrupted and their offices attacked, it constitutes a real risk to our democracy. We hope that there are no further scenes of this nature as we approach polling day."
A spokesperson for the Board of Deputies said: "We are disgusted by the abusive treatment of Rabbi Arnold Saunders, a candidate in Bury South. Rabbi Saunders had been invited by the elders of a local mosque; the video shows that some of the attendees took issue with this, and the footage clearly shows the rabbi was being targeted in this fashion due to his religion. We urge all who care about the health of our democracy to call out this bigotry."
Labour candidate in Bury South Christian Wakeford also condemned the incident, stating "Both Bilal Mosque and Rabbi Saunders have undertaken many years of progressive interfaith work which is in stark contrast to this individual's behavior which is totally unacceptable.
"We get nowhere in the world without dialogue and this is not representative of Bury South."
Wakeford added that "Despite political disagreements myself and Rabbi Saunders have always had an excellent relationship and I hope he is ok following this incident."
Michael Starr contributed to this report..... |
qsdcfqsdfcxqfqs/Officers-face-action-over-lost-vessels-25-updated | qsdcfqsdfcxqfqs | 2024-07-02T12:54:22Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:54:22Z | Entry not found |
gjonesQ02/StatementOfWork_Generator_Omega_BS_1024_2 | gjonesQ02 | 2024-07-02T19:30:31Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:54:26Z | ---
license: apache-2.0
tags:
- generated_from_trainer
base_model: distilgpt2
model-index:
- name: StatementOfWork_Generator_Omega_BS_1024_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# StatementOfWork_Generator_Omega_BS_1024_2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7939
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 20
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 5 | 0.7747 |
| No log | 2.0 | 10 | 0.7699 |
| No log | 3.0 | 15 | 0.7670 |
| No log | 4.0 | 20 | 0.7678 |
| No log | 5.0 | 25 | 0.7720 |
| No log | 6.0 | 30 | 0.7740 |
| No log | 7.0 | 35 | 0.7681 |
| No log | 8.0 | 40 | 0.7736 |
| No log | 9.0 | 45 | 0.7701 |
| No log | 10.0 | 50 | 0.7704 |
| No log | 11.0 | 55 | 0.7728 |
| No log | 12.0 | 60 | 0.7714 |
| No log | 13.0 | 65 | 0.7722 |
| No log | 14.0 | 70 | 0.7730 |
| No log | 15.0 | 75 | 0.7731 |
| No log | 16.0 | 80 | 0.7742 |
| No log | 17.0 | 85 | 0.7726 |
| No log | 18.0 | 90 | 0.7732 |
| No log | 19.0 | 95 | 0.7729 |
| No log | 20.0 | 100 | 0.7720 |
| No log | 21.0 | 105 | 0.7727 |
| No log | 22.0 | 110 | 0.7731 |
| No log | 23.0 | 115 | 0.7723 |
| No log | 24.0 | 120 | 0.7756 |
| No log | 25.0 | 125 | 0.7746 |
| No log | 26.0 | 130 | 0.7721 |
| No log | 27.0 | 135 | 0.7759 |
| No log | 28.0 | 140 | 0.7727 |
| No log | 29.0 | 145 | 0.7754 |
| No log | 30.0 | 150 | 0.7769 |
| No log | 31.0 | 155 | 0.7747 |
| No log | 32.0 | 160 | 0.7728 |
| No log | 33.0 | 165 | 0.7749 |
| No log | 34.0 | 170 | 0.7760 |
| No log | 35.0 | 175 | 0.7736 |
| No log | 36.0 | 180 | 0.7774 |
| No log | 37.0 | 185 | 0.7758 |
| No log | 38.0 | 190 | 0.7757 |
| No log | 39.0 | 195 | 0.7759 |
| No log | 40.0 | 200 | 0.7789 |
| No log | 41.0 | 205 | 0.7796 |
| No log | 42.0 | 210 | 0.7779 |
| No log | 43.0 | 215 | 0.7785 |
| No log | 44.0 | 220 | 0.7779 |
| No log | 45.0 | 225 | 0.7770 |
| No log | 46.0 | 230 | 0.7787 |
| No log | 47.0 | 235 | 0.7800 |
| No log | 48.0 | 240 | 0.7789 |
| No log | 49.0 | 245 | 0.7784 |
| No log | 50.0 | 250 | 0.7805 |
| No log | 51.0 | 255 | 0.7802 |
| No log | 52.0 | 260 | 0.7816 |
| No log | 53.0 | 265 | 0.7803 |
| No log | 54.0 | 270 | 0.7789 |
| No log | 55.0 | 275 | 0.7804 |
| No log | 56.0 | 280 | 0.7824 |
| No log | 57.0 | 285 | 0.7814 |
| No log | 58.0 | 290 | 0.7798 |
| No log | 59.0 | 295 | 0.7829 |
| No log | 60.0 | 300 | 0.7820 |
| No log | 61.0 | 305 | 0.7815 |
| No log | 62.0 | 310 | 0.7818 |
| No log | 63.0 | 315 | 0.7826 |
| No log | 64.0 | 320 | 0.7820 |
| No log | 65.0 | 325 | 0.7816 |
| No log | 66.0 | 330 | 0.7847 |
| No log | 67.0 | 335 | 0.7821 |
| No log | 68.0 | 340 | 0.7827 |
| No log | 69.0 | 345 | 0.7816 |
| No log | 70.0 | 350 | 0.7833 |
| No log | 71.0 | 355 | 0.7853 |
| No log | 72.0 | 360 | 0.7837 |
| No log | 73.0 | 365 | 0.7854 |
| No log | 74.0 | 370 | 0.7842 |
| No log | 75.0 | 375 | 0.7836 |
| No log | 76.0 | 380 | 0.7846 |
| No log | 77.0 | 385 | 0.7837 |
| No log | 78.0 | 390 | 0.7829 |
| No log | 79.0 | 395 | 0.7849 |
| No log | 80.0 | 400 | 0.7845 |
| No log | 81.0 | 405 | 0.7854 |
| No log | 82.0 | 410 | 0.7854 |
| No log | 83.0 | 415 | 0.7842 |
| No log | 84.0 | 420 | 0.7854 |
| No log | 85.0 | 425 | 0.7847 |
| No log | 86.0 | 430 | 0.7850 |
| No log | 87.0 | 435 | 0.7852 |
| No log | 88.0 | 440 | 0.7847 |
| No log | 89.0 | 445 | 0.7870 |
| No log | 90.0 | 450 | 0.7881 |
| No log | 91.0 | 455 | 0.7850 |
| No log | 92.0 | 460 | 0.7852 |
| No log | 93.0 | 465 | 0.7856 |
| No log | 94.0 | 470 | 0.7840 |
| No log | 95.0 | 475 | 0.7854 |
| No log | 96.0 | 480 | 0.7864 |
| No log | 97.0 | 485 | 0.7870 |
| No log | 98.0 | 490 | 0.7864 |
| No log | 99.0 | 495 | 0.7869 |
| 0.0968 | 100.0 | 500 | 0.7872 |
| 0.0968 | 101.0 | 505 | 0.7870 |
| 0.0968 | 102.0 | 510 | 0.7864 |
| 0.0968 | 103.0 | 515 | 0.7863 |
| 0.0968 | 104.0 | 520 | 0.7862 |
| 0.0968 | 105.0 | 525 | 0.7862 |
| 0.0968 | 106.0 | 530 | 0.7872 |
| 0.0968 | 107.0 | 535 | 0.7883 |
| 0.0968 | 108.0 | 540 | 0.7884 |
| 0.0968 | 109.0 | 545 | 0.7868 |
| 0.0968 | 110.0 | 550 | 0.7869 |
| 0.0968 | 111.0 | 555 | 0.7864 |
| 0.0968 | 112.0 | 560 | 0.7864 |
| 0.0968 | 113.0 | 565 | 0.7861 |
| 0.0968 | 114.0 | 570 | 0.7859 |
| 0.0968 | 115.0 | 575 | 0.7876 |
| 0.0968 | 116.0 | 580 | 0.7895 |
| 0.0968 | 117.0 | 585 | 0.7900 |
| 0.0968 | 118.0 | 590 | 0.7903 |
| 0.0968 | 119.0 | 595 | 0.7897 |
| 0.0968 | 120.0 | 600 | 0.7900 |
| 0.0968 | 121.0 | 605 | 0.7904 |
| 0.0968 | 122.0 | 610 | 0.7909 |
| 0.0968 | 123.0 | 615 | 0.7904 |
| 0.0968 | 124.0 | 620 | 0.7904 |
| 0.0968 | 125.0 | 625 | 0.7911 |
| 0.0968 | 126.0 | 630 | 0.7911 |
| 0.0968 | 127.0 | 635 | 0.7893 |
| 0.0968 | 128.0 | 640 | 0.7898 |
| 0.0968 | 129.0 | 645 | 0.7915 |
| 0.0968 | 130.0 | 650 | 0.7921 |
| 0.0968 | 131.0 | 655 | 0.7923 |
| 0.0968 | 132.0 | 660 | 0.7916 |
| 0.0968 | 133.0 | 665 | 0.7910 |
| 0.0968 | 134.0 | 670 | 0.7909 |
| 0.0968 | 135.0 | 675 | 0.7920 |
| 0.0968 | 136.0 | 680 | 0.7928 |
| 0.0968 | 137.0 | 685 | 0.7921 |
| 0.0968 | 138.0 | 690 | 0.7910 |
| 0.0968 | 139.0 | 695 | 0.7908 |
| 0.0968 | 140.0 | 700 | 0.7929 |
| 0.0968 | 141.0 | 705 | 0.7940 |
| 0.0968 | 142.0 | 710 | 0.7930 |
| 0.0968 | 143.0 | 715 | 0.7924 |
| 0.0968 | 144.0 | 720 | 0.7919 |
| 0.0968 | 145.0 | 725 | 0.7923 |
| 0.0968 | 146.0 | 730 | 0.7922 |
| 0.0968 | 147.0 | 735 | 0.7921 |
| 0.0968 | 148.0 | 740 | 0.7929 |
| 0.0968 | 149.0 | 745 | 0.7936 |
| 0.0968 | 150.0 | 750 | 0.7938 |
| 0.0968 | 151.0 | 755 | 0.7938 |
| 0.0968 | 152.0 | 760 | 0.7938 |
| 0.0968 | 153.0 | 765 | 0.7940 |
| 0.0968 | 154.0 | 770 | 0.7934 |
| 0.0968 | 155.0 | 775 | 0.7927 |
| 0.0968 | 156.0 | 780 | 0.7928 |
| 0.0968 | 157.0 | 785 | 0.7931 |
| 0.0968 | 158.0 | 790 | 0.7929 |
| 0.0968 | 159.0 | 795 | 0.7925 |
| 0.0968 | 160.0 | 800 | 0.7920 |
| 0.0968 | 161.0 | 805 | 0.7919 |
| 0.0968 | 162.0 | 810 | 0.7917 |
| 0.0968 | 163.0 | 815 | 0.7925 |
| 0.0968 | 164.0 | 820 | 0.7933 |
| 0.0968 | 165.0 | 825 | 0.7933 |
| 0.0968 | 166.0 | 830 | 0.7929 |
| 0.0968 | 167.0 | 835 | 0.7932 |
| 0.0968 | 168.0 | 840 | 0.7938 |
| 0.0968 | 169.0 | 845 | 0.7939 |
| 0.0968 | 170.0 | 850 | 0.7938 |
| 0.0968 | 171.0 | 855 | 0.7936 |
| 0.0968 | 172.0 | 860 | 0.7937 |
| 0.0968 | 173.0 | 865 | 0.7936 |
| 0.0968 | 174.0 | 870 | 0.7934 |
| 0.0968 | 175.0 | 875 | 0.7933 |
| 0.0968 | 176.0 | 880 | 0.7938 |
| 0.0968 | 177.0 | 885 | 0.7943 |
| 0.0968 | 178.0 | 890 | 0.7942 |
| 0.0968 | 179.0 | 895 | 0.7940 |
| 0.0968 | 180.0 | 900 | 0.7942 |
| 0.0968 | 181.0 | 905 | 0.7946 |
| 0.0968 | 182.0 | 910 | 0.7947 |
| 0.0968 | 183.0 | 915 | 0.7944 |
| 0.0968 | 184.0 | 920 | 0.7940 |
| 0.0968 | 185.0 | 925 | 0.7938 |
| 0.0968 | 186.0 | 930 | 0.7935 |
| 0.0968 | 187.0 | 935 | 0.7934 |
| 0.0968 | 188.0 | 940 | 0.7935 |
| 0.0968 | 189.0 | 945 | 0.7936 |
| 0.0968 | 190.0 | 950 | 0.7937 |
| 0.0968 | 191.0 | 955 | 0.7938 |
| 0.0968 | 192.0 | 960 | 0.7939 |
| 0.0968 | 193.0 | 965 | 0.7940 |
| 0.0968 | 194.0 | 970 | 0.7939 |
| 0.0968 | 195.0 | 975 | 0.7939 |
| 0.0968 | 196.0 | 980 | 0.7939 |
| 0.0968 | 197.0 | 985 | 0.7939 |
| 0.0968 | 198.0 | 990 | 0.7939 |
| 0.0968 | 199.0 | 995 | 0.7939 |
| 0.0702 | 200.0 | 1000 | 0.7939 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|
Meem24/layoutlm_train_suryaocr_allbbox | Meem24 | 2024-07-02T12:55:01Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"layoutlmv3",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2024-07-02T12:54:36Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
bartowski/Phi-3.1-mini-4k-instruct-exl2 | bartowski | 2024-07-02T14:09:37Z | 0 | 0 | null | [
"nlp",
"code",
"text-generation",
"en",
"license:mit",
"region:us"
] | text-generation | 2024-07-02T12:54:59Z | ---
license: mit
license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE
language:
- en
pipeline_tag: text-generation
tags:
- nlp
- code
inference:
parameters:
temperature: 0.0
widget:
- messages:
- role: user
content: Can you provide ways to eat combinations of bananas and dragonfruits?
quantized_by: bartowski
---
## Exllama v2 Quantizations of Phi-3.1-mini-4k-instruct
<b>I'm calling this Phi-3.1 because Microsoft made the decision to release a huge update in place.. So yes, it's the new model from June 2nd 2024, but I've renamed it for clarity.</b>
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.6">turboderp's ExLlamaV2 v0.1.6</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
Conversion was done using the default calibration dataset.
Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
Original model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/8_0">8.0 bits per weight</a>
<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/6_5">6.5 bits per weight</a>
<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/5_0">5.0 bits per weight</a>
<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/4_25">4.25 bits per weight</a>
<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/3_5">3.5 bits per weight</a>
## Download instructions
With git:
```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2
```
With huggingface hub (credit to TheBloke for instructions):
```shell
pip3 install huggingface-hub
```
To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Phi-3.1-mini-4k-instruct-exl2`:
```shell
mkdir Phi-3.1-mini-4k-instruct-exl2
huggingface-cli download bartowski/Phi-3.1-mini-4k-instruct-exl2 --local-dir Phi-3.1-mini-4k-instruct-exl2
```
To download from a different branch, add the `--revision` parameter:
Linux:
```shell
mkdir Phi-3.1-mini-4k-instruct-exl2-6_5
huggingface-cli download bartowski/Phi-3.1-mini-4k-instruct-exl2 --revision 6_5 --local-dir Phi-3.1-mini-4k-instruct-exl2-6_5
```
Windows (which apparently doesn't like _ in folders sometimes?):
```shell
mkdir Phi-3.1-mini-4k-instruct-exl2-6.5
huggingface-cli download bartowski/Phi-3.1-mini-4k-instruct-exl2 --revision 6_5 --local-dir Phi-3.1-mini-4k-instruct-exl2-6.5
```
|
hskoo/Mistral-7B-It-v0.3-zium-finetune | hskoo | 2024-07-02T13:46:44Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:55:16Z | Entry not found |
naturesleafcbd/Natures-Leaf-CBD-Gummies-Reviews | naturesleafcbd | 2024-07-02T12:56:22Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:55:21Z | <p><span style="font-weight: 400;">In the realm of regular wellbeing supplements, CBD (Cannabidiol) has acquired huge ubiquity for its likely helpful advantages. Among the heap of CBD items accessible, </span><span style="color: #008000;"><a style="color: #008000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> stand apart for their benefit, taste, and viability. This article digs into what Nature’s Leaf CBD Gummies are, the way they work, their advantages, fixings, aftereffects, how to utilize them, and client surveys.</span></p>
<p> </p>
<p><strong>➲➲✅ Product Name: </strong><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>Nature's Leaf CBD Gummies</strong></a></span></p>
<p><strong>➲➲✅ Rating: ⭐⭐⭐⭐⭐</strong></p>
<p><strong>➲➲✅ Side Effects: </strong><span style="color: #ff6600;"><a style="color: #ff6600;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>No Major Side Effects</strong></a></span></p>
<p><strong>➲➲✅ Availability: </strong><span style="color: #800080;"><a style="color: #800080;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>In Stock #1 Product in the USA</strong></a></span></p>
<p> </p>
<h2><strong>What are Nature’s Leaf CBD Gummies?</strong></h2>
<p><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> are edible confections that contain CBD oil. They arrive in various flavors, varieties, and shapes, and are intended to make consuming CBD a charming and simple experience. These chewy candies offer a tactful and clear method for ingesting CBD, furnishing a steady measurement with each stick.</span></p>
<p> </p>
<p style="text-align: center;"><a href="https://healthcare24hrs.com/naturesleafcbdgummies"><img src="https://i.ibb.co/3ctvVf5/pain-1.jpg" alt="pain-1" border="0" /></a></p>
<p> </p>
<h1 style="text-align: center;"><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>(SALE IS LIVE) Click Here TO Order Nature’s Leaf CBD Gummies And Get Up to 50 % Off On First Buy</strong></a></span></h1>
<p> </p>
<h2><strong>How Do Nature’s Leaf CBD Gummies Work?</strong></h2>
<p><span style="font-weight: 400;">CBD connects with the body's endocrinologist framework (ECS), a mind boggling cell-flagging framework that assumes a part in directing a scope of capabilities and cycles, including rest, temperament, craving, and resistant reaction.</span></p>
<p> </p>
<p><span style="font-weight: 400;">The ECS involves endocrinologists, receptors, and catalysts. At the point when you consume CBD, it impacts these receptors, especially CB1 and CB2 receptors, which are basically tracked down in the focal sensory system and the fringe sensory system, separately. Thus, CBD can assist with keeping up with balance (homeostasis) inside the body.</span></p>
<p> </p>
<h2><strong>Advantages of Nature’s Leaf CBD Gummies:</strong></h2>
<p><strong>Relief from discomfort:</strong><span style="font-weight: 400;"> One of the most acclaimed advantages of CBD is its capacity to reduce torment. CBD Gummies can assist with overseeing persistent agony by affecting endocrinologist receptor movement, diminishing irritation, and collaborating with synapses.</span></p>
<p><strong>Decreased Nervousness and Sorrow:</strong><span style="font-weight: 400;"> CBD has been displayed to lessen uneasiness and despondency in both human and creature studies. Its regular way to deal with overseeing psychological wellness issues is a favored decision for some people looking for elective medicines.</span></p>
<p><strong>Further developed Rest Quality:</strong><span style="font-weight: 400;"> CBD Gummies might assist with a sleeping disorder and further develop generally speaking rest quality by tending to the main drivers like tension, stress, and torment.</span></p>
<p><strong>Mitigating Properties:</strong><span style="font-weight: 400;"> CBS's calming properties can be helpful for people with provocative circumstances like joint inflammation.</span></p>
<p><strong>Neuroprotective Properties:</strong><span style="font-weight: 400;"> Exploration proposes that CBD has neuroprotective properties, which can be helpful for neurological issues like epilepsy and various sclerosis.</span></p>
<p><strong>Helpful and Tactful:</strong><span style="font-weight: 400;"> Chewy candies are not difficult to take and offer a prudent method for consuming CBD, making them reasonable for use in different settings.</span></p>
<p> </p>
<h2><strong>Fixings in Nature’s Leaf CBD Gummies:</strong></h2>
<p><span style="font-weight: 400;">The essential fixing in </span><span style="color: #008000;"><a style="color: #008000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> is CBD oil, got from great hemp plants. Different fixings regularly include:</span></p>
<p> </p>
<p><strong>Sugars:</strong><span style="font-weight: 400;"> Normal sugars or sugar substitutes to give a charming taste.</span></p>
<p><strong>Flavorings: </strong><span style="font-weight: 400;">Regular natural product flavors to improve the taste.</span></p>
<p><strong>Gelatin or Gelatin:</strong><span style="font-weight: 400;"> Used to give the chewy candies their chewy surface. Gelatin is utilized for veggie lover choices.</span></p>
<p><strong>Colorings: </strong><span style="font-weight: 400;">Regular colorings are obtained from products of the soil.</span></p>
<p><strong>Extra Enhancements:</strong><span style="font-weight: 400;"> Some chewy candies might incorporate extra nutrients or enhancements for added medical advantages.</span></p>
<p> </p>
<h2><strong>Results of Nature’s Leaf CBD Gummies:</strong></h2>
<p><span style="font-weight: 400;">While CBD is for the most part all around endured, certain individuals might encounter aftereffects. These can include:</span></p>
<p> </p>
<p><strong>Dry Mouth:</strong><span style="font-weight: 400;"> CBD can diminish spit creation, prompting a dry sensation in the mouth.</span></p>
<p><span style="font-weight: 400;">Tiredness: In higher dosages, CBD might cause sluggishness, which can be advantageous for those with rest issues yet may slow down everyday exercises for other people.</span></p>
<p><strong>Stomach related Issues:</strong><span style="font-weight: 400;"> A few people could encounter loose bowels or changes in craving and weight.</span></p>
<p> </p>
<p><strong>Communication with Drugs:</strong><span style="font-weight: 400;"> CBD can interface with specific prescriptions, so it's fundamental to talk with a medical care supplier prior to beginning CBD, particularly in the event that you are on different meds.</span></p>
<p> </p>
<p style="text-align: center;"><a href="https://healthcare24hrs.com/naturesleafcbdgummies"><img src="https://i.ibb.co/M81xq73/pain.png" alt="pain" border="0" /></a></p>
<p> </p>
<h1 style="text-align: center;"><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>Should See: Visit the Official Website Nature’s Leaf CBD Gummies [Up As far as possible Open Here]</strong></a></span></h1>
<p> </p>
<h2><strong>Step by step instructions to Utilize Nature’s Leaf CBD Gummies:</strong></h2>
<p><span style="font-weight: 400;">Utilizing </span><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> is clear. Here are a few basic rules:</span></p>
<p> </p>
<p><strong>Measurement: </strong><span style="font-weight: 400;">Begin with the suggested dose on the bundling. Commonly, this is one to two chewy candies each day. Change the measurement depending on the situation in light of your body's reaction and wanted impacts.</span></p>
<p> </p>
<p><strong>Timing: </strong><span style="font-weight: 400;">Take the chewy candies all at once that lines up with your objectives. For example, take them in the first part of the day for tension help or at night to help rest.</span></p>
<p> </p>
<p><strong>Consistency: </strong><span style="font-weight: 400;">For the best outcomes, use CBD Gummies reliably. Ordinary use can assist with keeping a consistent degree of CBD in your framework.</span></p>
<p><span style="font-weight: 400;">Capacity: Store the chewy candies in a cool, dry spot to keep up with their power and newness.</span></p>
<p> </p>
<h2><strong>Who Ought to Utilize Nature’s Leaf CBD Gummies?</strong></h2>
<p><span style="color: #008000;"><a style="color: #008000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> can be helpful for a great many people, including:</span></p>
<p> </p>
<p><strong>People with Persistent Torment:</strong><span style="font-weight: 400;"> Those experiencing conditions like joint inflammation or fibromyalgia may track down help with CBD Gummies.</span></p>
<p><strong>Individuals with Tension or Misery: </strong><span style="font-weight: 400;">CBD can offer a characteristic option in contrast to customary meds for overseeing nervousness and discouragement.</span></p>
<p><strong>Those with Rest Issues:</strong><span style="font-weight: 400;"> In the event that you battle with a sleeping disorder or unfortunate rest quality, CBD Gummies could assist with further developing your rest designs.</span></p>
<p><strong>People Looking for General Well Being:</strong><span style="font-weight: 400;"> CBD's capability to advance by and large equilibrium and prosperity can be profitable for anybody hoping to normally improve their wellbeing.</span></p>
<p> </p>
<p><span style="background-color: #ffcc00;"><strong>Buy Now Official website:-</strong></span></p>
<p><a href="https://startupcentrum.com/startup/natures-leaf-cbd-gummies-in-us"><strong>https://startupcentrum.com/startup/natures-leaf-cbd-gummies-in-us</strong></a></p>
<p> </p>
<p><span style="background-color: #ffcc00;"><strong>Official Facebook:-</strong></span></p>
<p><a href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/</strong></a></p>
<p><a href="https://www.facebook.com/buy.natures.leaf.CBD.Gummies.US/"><strong>https://www.facebook.com/buy.natures.leaf.CBD.Gummies.US/</strong></a></p>
<p> </p>
<p><span style="background-color: #ffcc00;"><strong>MAIN BLOGS :-</strong></span></p>
<p><a href="https://startupcentrum.com/talent/naturesleafcbd-gummies2"><strong>https://startupcentrum.com/talent/naturesleafcbd-gummies2</strong></a></p>
<p><a href="https://startupcentrum.com/startup/natures-leaf-cbd-gummies-buy-with-100-natural-ingredients-safe-to-use"><strong>https://startupcentrum.com/startup/natures-leaf-cbd-gummies-buy-with-100-natural-ingredients-safe-to-use</strong></a></p>
<p><a href="https://startupcentrum.com/startup/natures-leaf-cbd-gummies-in-us2"><strong>https://startupcentrum.com/startup/natures-leaf-cbd-gummies-in-us2</strong></a></p>
<p><a href="https://sites.google.com/view/naturesleafcbdgummies-in-us/"><strong>https://sites.google.com/view/naturesleafcbdgummies-in-us/</strong></a></p>
<p><a href="https://groups.google.com/g/natures-leaf-cbd-gummies-in-us/c/0ThrlVtXnnQ"><strong>https://groups.google.com/g/natures-leaf-cbd-gummies-in-us/c/0ThrlVtXnnQ</strong></a></p>
<p><a href="https://groups.google.com/g/natures-leaf-cbd-gummies-in-us/c/rFHU3QmAX3M"><strong>https://groups.google.com/g/natures-leaf-cbd-gummies-in-us/c/rFHU3QmAX3M</strong></a></p>
<p><a href="https://natures-leaf-cbd-gummies-us.company.site/"><strong>https://natures-leaf-cbd-gummies-us.company.site/</strong></a></p>
<p><a href="https://natures-leaf-cbd-gummies-us-2.jimdosite.com/"><strong>https://natures-leaf-cbd-gummies-us-2.jimdosite.com/</strong></a></p>
<p><a href="https://nature-s-leaf-cbd-gummies-official.webflow.io/"><strong>https://nature-s-leaf-cbd-gummies-official.webflow.io/</strong></a></p>
<p> </p>
<h2><strong>Where to purchase Nature’s Leaf CBD Gummies?</strong></h2>
<p><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> can be bought straightforwardly from the authority site. Purchasing straightforwardly from the maker guarantees you get bona fide items and can exploit limits or special offers. Furthermore, buying from the authority site gives admittance to client assistance and merchandise exchanges.</span></p>
<p> </p>
<p style="text-align: center;"><a href="https://healthcare24hrs.com/naturesleafcbdgummies"><img src="https://i.ibb.co/kq1jnKW/CBD-Gummies.jpg" alt="CBD-Gummies" border="0" /></a></p>
<p> </p>
<h1 style="text-align: center;"><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://healthcare24hrs.com/naturesleafcbdgummies"><strong>(OFFICIAL Site) Click Here To Buy Nature’s Leaf CBD Gummies At The Most Reasonable Cost Right now!!</strong></a></span></h1>
<p> </p>
<h2><strong>End:</strong></h2>
<p><span style="color: #008000;"><a style="color: #008000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> offer a helpful and charming method for encountering the expected advantages of CBD. From help with discomfort and nervousness decrease to further developed rest and by and large prosperity, these chewy candies can be a significant expansion to your wellbeing routine.</span></p>
<p> </p>
<p><span style="font-weight: 400;">Likewise with any enhancement, it's vital to start with a lower portion and talk with a medical services supplier, particularly in the event that you have basic ailments or are taking different drugs. With their flavorful taste and potential medical advantages, </span><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://www.facebook.com/people/Natures-Leaf-CBD-Gummies-US/61561656029116/"><strong>Nature’s Leaf CBD Gummies</strong></a></span><span style="font-weight: 400;"> are a famous decision for those hoping to integrate CBD into their everyday daily schedule.</span></p> |
Kfakharany/eduModel | Kfakharany | 2024-07-02T13:03:48Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T12:55:28Z | Entry not found |
Thehunter99/midjourney-falcon-7b | Thehunter99 | 2024-07-02T12:56:41Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | 2024-07-02T12:56:05Z | ---
license: openrail
---
|
yemen2016/nb-bert_1_NCST | yemen2016 | 2024-07-02T13:41:40Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:NbAiLab/nb-bert-base",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2024-07-02T12:57:08Z | ---
license: cc-by-4.0
base_model: NbAiLab/nb-bert-base
tags:
- generated_from_trainer
model-index:
- name: nb-bert_1_NCST
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# nb-bert_1_NCST
This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8770
- F1-score: 0.5752
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6987 | 1.0 | 528 | 0.6963 | 0.4426 |
| 0.6885 | 2.0 | 1056 | 0.6854 | 0.5741 |
| 0.6132 | 3.0 | 1584 | 0.7372 | 0.5620 |
| 0.4632 | 4.0 | 2112 | 0.9255 | 0.5574 |
| 0.3018 | 5.0 | 2640 | 1.4013 | 0.5445 |
| 0.2087 | 6.0 | 3168 | 1.9950 | 0.5688 |
| 0.1693 | 7.0 | 3696 | 2.3746 | 0.5743 |
| 0.1272 | 8.0 | 4224 | 2.7526 | 0.5635 |
| 0.0819 | 9.0 | 4752 | 2.8865 | 0.5562 |
| 0.047 | 10.0 | 5280 | 2.8770 | 0.5752 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
tufz-usama/Llama-2-7b-chat-new-finetune | tufz-usama | 2024-07-02T12:57:33Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T12:57:33Z | Entry not found |
manbeast3b/ZZZZZZZZdriver133 | manbeast3b | 2024-07-02T13:02:10Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-02T13:00:05Z | Entry not found |
Temo27Anas/videomae-base-ft-1677 | Temo27Anas | 2024-07-02T13:00:22Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T13:00:22Z | Entry not found |
asdfuz/fm | asdfuz | 2024-07-02T13:01:32Z | 0 | 0 | null | [
"en",
"license:mit",
"region:us"
] | null | 2024-07-02T13:00:23Z | ---
license: mit
language:
- en
---
I am creating this model yet I don't know anything of ML |
ahmad543/horror_tinyllama | ahmad543 | 2024-07-02T13:03:24Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2024-07-02T13:01:16Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
olfeo/Meta-Llama-3-8b-Lora-Adapter-IQ4_XS | olfeo | 2024-07-02T14:17:51Z | 0 | 0 | null | [
"gguf",
"region:us"
] | null | 2024-07-02T13:01:38Z | Entry not found |
KasuleTrevor/wav2vec2-large-xls-r-300m-lg-cv-100hr-v1 | KasuleTrevor | 2024-07-02T14:04:07Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2024-07-02T13:01:41Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed] |
qsdcfqsdfcxqfqs/Indiana-State-Police-offer-fireworks-safety-tips-42-updated | qsdcfqsdfcxqfqs | 2024-07-02T13:02:05Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T13:02:05Z | Entry not found |
Fahri11/Lien | Fahri11 | 2024-07-02T13:02:49Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T13:02:49Z | Entry not found |
Temo27Anas/videomae-base-ft-2605 | Temo27Anas | 2024-07-02T13:03:09Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T13:03:09Z | Entry not found |
whizzzzkid/whizzzzkid_416_2 | whizzzzkid | 2024-07-02T13:03:31Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-02T13:03:10Z | Entry not found |
UtensilMan/practice1 | UtensilMan | 2024-07-02T13:06:28Z | 0 | 0 | null | [
"region:us"
] | null | 2024-07-02T13:06:28Z | Entry not found |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.