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FarisHijazi/wav2vec2-large-xls-r-300m-turkish-colab | d4ae3dd50da55b0a0a5c521ae4d23f5d436aca9f | 2021-12-18T15:19:16.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
]
| automatic-speech-recognition | false | FarisHijazi | null | FarisHijazi/wav2vec2-large-xls-r-300m-turkish-colab | 6 | null | transformers | 14,800 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-turkish-colab
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. -->
# wav2vec2-large-xls-r-300m-turkish-colab
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice 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: 0.0003
- train_batch_size: 256
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.13.3
- Tokenizers 0.10.3
|
Fiona99/distilbert-base-uncased-finetuned-cola | 0a3b6b03384d98e8b2b05d5a69a382c89bcd61fc | 2021-12-10T08:05:41.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers"
]
| text-classification | false | Fiona99 | null | Fiona99/distilbert-base-uncased-finetuned-cola | 6 | null | transformers | 14,801 | Entry not found |
ForutanRad/bert-fa-QA-v1 | 2f4043b809c6745b6c83cdb81c8e831b0e5df137 | 2021-07-26T03:51:47.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"arxiv:2005.12515",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
]
| question-answering | false | ForutanRad | null | ForutanRad/bert-fa-QA-v1 | 6 | 1 | transformers | 14,802 | ---
license: apache-2.0
tags:
- generated_from_trainer
model_index:
- name: bert-fa-QA-v1
results:
- task:
name: Question Answering
type: question-answering
---
<!-- 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. -->
# bert-fa-QA-v1
Persian Question and answer Model Based on Bert Model
This model is a fine-tuned version of [ParsBERT](https://arxiv.org/abs/2005.12515) on PersianQA dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7297
## 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: 3e-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: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2563 | 1.0 | 1126 | 1.7222 |
| 1.3372 | 2.0 | 2252 | 1.7297 |
### Framework versions
- Transformers 4.9.0
- Pytorch 1.9.0+cu102
- Tokenizers 0.10.3
|
Francesco/resnet18 | f51444bfc40f7ed1631c2c2b87ae52f06065f063 | 2022-03-01T15:01:24.000Z | [
"pytorch",
"resnet",
"image-classification",
"transformers"
]
| image-classification | false | Francesco | null | Francesco/resnet18 | 6 | null | transformers | 14,803 | Entry not found |
Geotrend/bert-base-ar-cased | 8dfc05f2e7e5fcee896d7bcbc08693ae10904b3f | 2021-05-18T18:47:56.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
]
| fill-mask | false | Geotrend | null | Geotrend/bert-base-ar-cased | 6 | null | transformers | 14,804 | ---
language: ar
datasets: wikipedia
license: apache-2.0
widget:
- text: "تقع سويسرا في [MASK] أوروبا"
- text: "إسمي محمد وأسكن في [MASK]."
---
# bert-base-ar-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-ar-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-ar-cased")
```
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
### How to cite
```bibtex
@inproceedings{smallermbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
```
## Contact
Please contact [email protected] for any question, feedback or request.
|
Geotrend/bert-base-en-da-cased | 3f6a31ed6c1b296185918f0aba9623f199d8ef0a | 2021-05-18T19:04:34.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
]
| fill-mask | false | Geotrend | null | Geotrend/bert-base-en-da-cased | 6 | null | transformers | 14,805 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# bert-base-en-da-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-da-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-da-cased")
```
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
### How to cite
```bibtex
@inproceedings{smallermbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
```
## Contact
Please contact [email protected] for any question, feedback or request. |
Geotrend/bert-base-en-el-cased | a7255aa6f90807dc28ea41bd3c13bdae34757f4c | 2021-05-18T19:06:56.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
]
| fill-mask | false | Geotrend | null | Geotrend/bert-base-en-el-cased | 6 | null | transformers | 14,806 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
widget:
- text: "Google generated 46 billion [MASK] in revenue."
- text: "Paris is the capital of [MASK]."
- text: "Algiers is the largest city in [MASK]."
---
# bert-base-en-el-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-el-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-el-cased")
```
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
### How to cite
```bibtex
@inproceedings{smallermbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
```
## Contact
Please contact [email protected] for any question, feedback or request.
|
Geotrend/bert-base-en-fr-de-no-da-cased | 8088ec836cd2860e321a3d863f76eb2c2ca45a03 | 2021-05-18T19:19:41.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
]
| fill-mask | false | Geotrend | null | Geotrend/bert-base-en-fr-de-no-da-cased | 6 | null | transformers | 14,807 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# bert-base-en-fr-de-no-da-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-fr-de-no-da-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-fr-de-no-da-cased")
```
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
### How to cite
```bibtex
@inproceedings{smallermbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
```
## Contact
Please contact [email protected] for any question, feedback or request. |
Geotrend/bert-base-en-fr-uk-el-ro-cased | 3c6fbca7be022c77c67bb945f5bd63d4572d215c | 2021-05-18T19:27:52.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
]
| fill-mask | false | Geotrend | null | Geotrend/bert-base-en-fr-uk-el-ro-cased | 6 | null | transformers | 14,808 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# bert-base-en-fr-uk-el-ro-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-fr-uk-el-ro-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-fr-uk-el-ro-cased")
```
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
### How to cite
```bibtex
@inproceedings{smallermbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
```
## Contact
Please contact [email protected] for any question, feedback or request. |
Geotrend/bert-base-en-ru-cased | a498eaff43af3515f38f7c898b746e5795eabc36 | 2021-05-18T19:45:10.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
]
| fill-mask | false | Geotrend | null | Geotrend/bert-base-en-ru-cased | 6 | null | transformers | 14,809 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
widget:
- text: "Google generated 46 billion [MASK] in revenue."
- text: "Paris is the capital of [MASK]."
- text: "Algiers is the largest city in [MASK]."
---
# bert-base-en-ru-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-ru-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-ru-cased")
```
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
### How to cite
```bibtex
@inproceedings{smallermbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
```
## Contact
Please contact [email protected] for any question, feedback or request.
|
Geotrend/bert-base-en-sw-cased | 17efca44a378f22675bf8d4b4ec582bccb1e2830 | 2021-05-18T19:46:12.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
]
| fill-mask | false | Geotrend | null | Geotrend/bert-base-en-sw-cased | 6 | null | transformers | 14,810 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
widget:
- text: "Google generated 46 billion [MASK] in revenue."
- text: "Paris is the capital of [MASK]."
- text: "Algiers is the largest city in [MASK]."
---
# bert-base-en-sw-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-sw-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-sw-cased")
```
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
### How to cite
```bibtex
@inproceedings{smallermbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
```
## Contact
Please contact [email protected] for any question, feedback or request.
|
Geotrend/bert-base-en-zh-hi-cased | b33ffb5baaae04fa1c50dd4f45f2a667e77eb64e | 2021-05-18T19:53:51.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
]
| fill-mask | false | Geotrend | null | Geotrend/bert-base-en-zh-hi-cased | 6 | null | transformers | 14,811 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# bert-base-en-zh-hi-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-zh-hi-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-zh-hi-cased")
```
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
### How to cite
```bibtex
@inproceedings{smallermbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
```
## Contact
Please contact [email protected] for any question, feedback or request. |
Geotrend/distilbert-base-nl-cased | 34d3eeca767e73e1351da4fb038cfaf3e926a05e | 2021-07-27T11:23:25.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"nl",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
]
| fill-mask | false | Geotrend | null | Geotrend/distilbert-base-nl-cased | 6 | 1 | transformers | 14,812 | ---
language: nl
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-nl-cased
We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages.
Our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/distilbert-base-nl-cased")
model = AutoModel.from_pretrained("Geotrend/distilbert-base-nl-cased")
```
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
### How to cite
```bibtex
@inproceedings{smallermdistilbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
```
## Contact
Please contact [email protected] for any question, feedback or request. |
GermanT5/t5-efficient-gc4-german-small-el32 | 3b5772816f8281629aab9f002bc86c10077ee001 | 2022-02-21T14:35:25.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
]
| text2text-generation | false | GermanT5 | null | GermanT5/t5-efficient-gc4-german-small-el32 | 6 | 3 | transformers | 14,813 | Entry not found |
Gilles/FongBERT | f308c50deeda0d3a4ab848f14608b973734edefb | 2021-08-11T05:06:51.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
]
| feature-extraction | false | Gilles | null | Gilles/FongBERT | 6 | null | transformers | 14,814 | # FongBERT
FongBERT is a BERT model trained on 68.363 sentences in [Fon](https://en.wikipedia.org/wiki/Fon_language). The data are compiled from [JW300](https://opus.nlpl.eu/JW300.php) and other additional data I scraped from the [JW](https://www.jw.org/en/) website.
It is the first pretrained model to leverage transfer learning for downtream tasks for Fon.
Below are some examples of missing word prediction.
from transformers import AutoTokenizer, AutoModelForMaskedLM
from transformers import pipeline
tokenizer = AutoTokenizer.from_pretrained("Gilles/FongBERT")
model = AutoModelForMaskedLM.from_pretrained("Gilles/FongBERT")
fill = pipeline('fill-mask', model=model, tokenizer=tokenizer)
#### Example 1
**Sentence 1**: un tuùn ɖɔ un jló na wazɔ̌ nú we . **Translation**: I know I have to work for you.
**Masked Sentence**: un tuùn ɖɔ un jló na wazɔ̌ <"mask"> we . **Translation**: I know I have to work <"mask"> you.
fill(f'un tuùn ɖɔ un jló na wazɔ̌ {fill.tokenizer.mask_token} we')
[{'score': 0.994536280632019,
'sequence': 'un tuùn ɖɔ un jló na wazɔ̌ nú we',
'token': 312,
'token_str': ' nú'},
{'score': 0.0015309195732697845,
'sequence': 'un tuùn ɖɔ un jló na wazɔ̌nu we',
...........]
#### Example 2
**Sentence 2**: un yi wan nu we ɖesu . **Translation**: I love you so much.
**Masked Sentence**: un yi <"mask"> nu we ɖesu . **Translation**: I <"mask"> you so much.
[{'score': 0.31483960151672363,
'sequence': 'un yi wan nu we ɖesu',
'token': 639,
'token_str': ' wan'},
{'score': 0.20940221846103668,
'sequence': 'un yi ba nu we ɖesu',
...........]
#### Example 3
**Sentence 3**: un yì cí sunnu xɔ́ntɔn ce Tony gɔ́n nú táan ɖé . **Translation**: I went to my boyfriend for a while.
**Masked Sentence**: un yì cí sunnu xɔ́ntɔn ce Tony gɔ́n nú <"mask"> ɖé . **Translation**: I went to my boyfriend for a <"mask">.
[{'score': 0.934298574924469,
'sequence': 'un yì cí sunnu xɔ́ntɔn ce Tony gɔ́n nú táan ɖé',
'token': 1102,
'token_str': ' táan'},
{'score': 0.03750855475664139,
'sequence': 'un yì cí sunnu xɔ́ntɔn ce Tony gɔ́n nú ganxixo ɖé',
...........]
|
Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10 | 141b585cbb1d668ac3e21e12392c8f277470298a | 2021-12-17T20:14:16.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pa",
"arxiv:2107.07402",
"transformers",
"audio",
"speech",
"license:mit",
"model-index"
]
| automatic-speech-recognition | false | Harveenchadha | null | Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10 | 6 | null | transformers | 14,815 | ---
language: pa
#datasets:
#- Interspeech 2021
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
license: mit
model-index:
- name: Wav2Vec2 Vakyansh Punjabi Model by Harveen Chadha
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice hi
type: common_voice
args: pa
metrics:
- name: Test WER
type: wer
value: 33.17
---
Fine-tuned on Multilingual Pretrained Model [CLSRIL-23](https://arxiv.org/abs/2107.07402). The original fairseq checkpoint is present [here](https://github.com/Open-Speech-EkStep/vakyansh-models). When using this model, make sure that your speech input is sampled at 16kHz.
**Note: The result from this model is without a language model so you may witness a higher WER in some cases.**
|
Helsinki-NLP/opus-mt-ase-sv | 52145224aaa7997bb15bd3af494537ec3ea4bccd | 2021-09-09T21:26:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ase",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ase-sv | 6 | null | transformers | 14,816 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ase-sv
* source languages: ase
* target languages: sv
* OPUS readme: [ase-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ase-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ase-sv/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-sv/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-sv/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ase.sv | 39.7 | 0.576 |
|
Helsinki-NLP/opus-mt-bcl-es | d9e01b3db4f9ae97d44f15f6a69d5d7ea1d69d5b | 2021-09-09T21:26:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bcl",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-bcl-es | 6 | null | transformers | 14,817 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-bcl-es
* source languages: bcl
* target languages: es
* OPUS readme: [bcl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/bcl-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.bcl.es | 37.0 | 0.551 |
|
Helsinki-NLP/opus-mt-bem-es | ba91f9b554425480027fc8ebb7ecd9474362e50b | 2021-09-09T21:27:07.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bem",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-bem-es | 6 | null | transformers | 14,818 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-bem-es
* source languages: bem
* target languages: es
* OPUS readme: [bem-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/bem-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.bem.es | 22.8 | 0.403 |
|
Helsinki-NLP/opus-mt-bzs-fi | 26a623904cfb745bdc48f4e62f4de8ec0f0f0bbb | 2021-09-09T21:28:07.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bzs",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-bzs-fi | 6 | null | transformers | 14,819 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-bzs-fi
* source languages: bzs
* target languages: fi
* OPUS readme: [bzs-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.bzs.fi | 24.7 | 0.464 |
|
Helsinki-NLP/opus-mt-bzs-sv | 2a12941aeaeaa78979240cfcb1d63e44958af76f | 2021-09-09T21:28:14.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bzs",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-bzs-sv | 6 | null | transformers | 14,820 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-bzs-sv
* source languages: bzs
* target languages: sv
* OPUS readme: [bzs-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/bzs-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.bzs.sv | 30.7 | 0.489 |
|
Helsinki-NLP/opus-mt-ca-it | 7d3b4ce1580c78f7ea19cfd16f11e2592fa3703a | 2021-01-18T07:53:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ca",
"it",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ca-it | 6 | null | transformers | 14,821 | ---
language:
- ca
- it
tags:
- translation
license: apache-2.0
---
### cat-ita
* source group: Catalan
* target group: Italian
* OPUS readme: [cat-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md)
* model: transformer-align
* source language(s): cat
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.cat.ita | 48.6 | 0.690 |
### System Info:
- hf_name: cat-ita
- source_languages: cat
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ca', 'it']
- src_constituents: {'cat'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt
- src_alpha3: cat
- tgt_alpha3: ita
- short_pair: ca-it
- chrF2_score: 0.69
- bleu: 48.6
- brevity_penalty: 0.985
- ref_len: 1995.0
- src_name: Catalan
- tgt_name: Italian
- train_date: 2020-06-16
- src_alpha2: ca
- tgt_alpha2: it
- prefer_old: False
- long_pair: cat-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-da-no | 0c27c6a4d83ea6302bad4ba596f8999ada59c34d | 2021-01-18T07:57:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"da",
"no",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-da-no | 6 | null | transformers | 14,822 | ---
language:
- da
- no
tags:
- translation
license: apache-2.0
---
### dan-nor
* source group: Danish
* target group: Norwegian
* OPUS readme: [dan-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md)
* model: transformer-align
* source language(s): dan
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.dan.nor | 66.4 | 0.801 |
### System Info:
- hf_name: dan-nor
- source_languages: dan
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'no']
- src_constituents: {'dan'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt
- src_alpha3: dan
- tgt_alpha3: nor
- short_pair: da-no
- chrF2_score: 0.8009999999999999
- bleu: 66.4
- brevity_penalty: 0.996
- ref_len: 9691.0
- src_name: Danish
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: da
- tgt_alpha2: no
- prefer_old: False
- long_pair: dan-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-ee | 42218c447d3da4a8836adb6de710d06bbad480c9 | 2021-09-09T21:30:40.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"ee",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-ee | 6 | null | transformers | 14,823 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-ee
* source languages: de
* target languages: ee
* OPUS readme: [de-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ee | 24.6 | 0.463 |
|
Helsinki-NLP/opus-mt-de-ha | 5a241c2d7ce3f36d42b7bbd7f563bd0da651d480 | 2021-09-09T21:31:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"ha",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-ha | 6 | null | transformers | 14,824 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-ha
* source languages: de
* target languages: ha
* OPUS readme: [de-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ha/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ha | 20.7 | 0.417 |
|
Helsinki-NLP/opus-mt-de-ht | 2d296463f4735961ca4512271b415aacf7c0ba91 | 2021-09-09T21:31:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"ht",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-ht | 6 | null | transformers | 14,825 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-ht
* source languages: de
* target languages: ht
* OPUS readme: [de-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ht/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ht | 21.8 | 0.390 |
|
Helsinki-NLP/opus-mt-de-ig | 862152c08618d17ff651fc7df9145d81519ba9f7 | 2021-09-09T21:31:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"ig",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-ig | 6 | null | transformers | 14,826 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-ig
* source languages: de
* target languages: ig
* OPUS readme: [de-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ig/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ig | 25.3 | 0.422 |
|
Helsinki-NLP/opus-mt-de-pag | f03679f6d038388c5a0a40918acc4bf6406cac28 | 2021-09-09T21:32:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"pag",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-pag | 6 | null | transformers | 14,827 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-pag
* source languages: de
* target languages: pag
* OPUS readme: [de-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pag/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.pag | 24.3 | 0.469 |
|
Helsinki-NLP/opus-mt-de-pis | ddfb8177ff0559adc697171c2c4c7704921bd4ec | 2021-09-09T21:32:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"pis",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-pis | 6 | null | transformers | 14,828 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-pis
* source languages: de
* target languages: pis
* OPUS readme: [de-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pis/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.pis | 26.0 | 0.470 |
|
Helsinki-NLP/opus-mt-de-uk | daa2fee8e72fd0db496311a2992a45410c0704fe | 2021-01-18T08:02:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-uk | 6 | null | transformers | 14,829 | ---
language:
- de
- uk
tags:
- translation
license: apache-2.0
---
### deu-ukr
* source group: German
* target group: Ukrainian
* OPUS readme: [deu-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ukr/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): ukr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.ukr | 40.2 | 0.612 |
### System Info:
- hf_name: deu-ukr
- source_languages: deu
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'uk']
- src_constituents: {'deu'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: ukr
- short_pair: de-uk
- chrF2_score: 0.612
- bleu: 40.2
- brevity_penalty: 0.9840000000000001
- ref_len: 54213.0
- src_name: German
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: uk
- prefer_old: False
- long_pair: deu-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ee-sv | 8170bc4af3be1e3633e37ef4180cada5eb177b2c | 2021-09-09T21:33:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ee",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ee-sv | 6 | null | transformers | 14,830 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ee-sv
* source languages: ee
* target languages: sv
* OPUS readme: [ee-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.sv | 28.9 | 0.472 |
|
Helsinki-NLP/opus-mt-eo-af | 583c53fb594bb8c3432bd8ddc866dc877f261657 | 2021-01-18T08:19:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"af",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eo-af | 6 | null | transformers | 14,831 | ---
language:
- eo
- af
tags:
- translation
license: apache-2.0
---
### epo-afr
* source group: Esperanto
* target group: Afrikaans
* OPUS readme: [epo-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): afr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.afr | 19.5 | 0.369 |
### System Info:
- hf_name: epo-afr
- source_languages: epo
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'af']
- src_constituents: {'epo'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: afr
- short_pair: eo-af
- chrF2_score: 0.369
- bleu: 19.5
- brevity_penalty: 0.9570000000000001
- ref_len: 8432.0
- src_name: Esperanto
- tgt_name: Afrikaans
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: af
- prefer_old: False
- long_pair: epo-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-da | 9371fec29c87a4193fe9d567baa3dccc8c9ef766 | 2021-01-18T08:20:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"da",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eo-da | 6 | null | transformers | 14,832 | ---
language:
- eo
- da
tags:
- translation
license: apache-2.0
---
### epo-dan
* source group: Esperanto
* target group: Danish
* OPUS readme: [epo-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-dan/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.dan | 21.6 | 0.407 |
### System Info:
- hf_name: epo-dan
- source_languages: epo
- target_languages: dan
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-dan/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'da']
- src_constituents: {'epo'}
- tgt_constituents: {'dan'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: dan
- short_pair: eo-da
- chrF2_score: 0.40700000000000003
- bleu: 21.6
- brevity_penalty: 0.9359999999999999
- ref_len: 72349.0
- src_name: Esperanto
- tgt_name: Danish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: da
- prefer_old: False
- long_pair: epo-dan
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-pt | 27b6617aa778ceaa77bd4bcda7bb1ded4c4020f8 | 2021-01-18T08:21:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"pt",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eo-pt | 6 | null | transformers | 14,833 | ---
language:
- eo
- pt
tags:
- translation
license: apache-2.0
---
### epo-por
* source group: Esperanto
* target group: Portuguese
* OPUS readme: [epo-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-por/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.por | 20.2 | 0.438 |
### System Info:
- hf_name: epo-por
- source_languages: epo
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'pt']
- src_constituents: {'epo'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: por
- short_pair: eo-pt
- chrF2_score: 0.43799999999999994
- bleu: 20.2
- brevity_penalty: 0.895
- ref_len: 89991.0
- src_name: Esperanto
- tgt_name: Portuguese
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: pt
- prefer_old: False
- long_pair: epo-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-es-rn | fec9ffa2497f2fba70a77f954108644ebcacd145 | 2021-01-18T08:27:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"rn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-rn | 6 | null | transformers | 14,834 | ---
language:
- es
- rn
tags:
- translation
license: apache-2.0
---
### spa-run
* source group: Spanish
* target group: Rundi
* OPUS readme: [spa-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md)
* model: transformer-align
* source language(s): spa
* target language(s): run
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.run | 10.1 | 0.410 |
### System Info:
- hf_name: spa-run
- source_languages: spa
- target_languages: run
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'rn']
- src_constituents: {'spa'}
- tgt_constituents: {'run'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt
- src_alpha3: spa
- tgt_alpha3: run
- short_pair: es-rn
- chrF2_score: 0.41
- bleu: 10.1
- brevity_penalty: 1.0
- ref_len: 3886.0
- src_name: Spanish
- tgt_name: Rundi
- train_date: 2020-06-16
- src_alpha2: es
- tgt_alpha2: rn
- prefer_old: False
- long_pair: spa-run
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-fi-fse | fb35cdc9e7fe546b1a01016a7863344644066779 | 2021-09-09T21:47:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"fse",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-fse | 6 | null | transformers | 14,835 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-fse
* source languages: fi
* target languages: fse
* OPUS readme: [fi-fse](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fse/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-fse/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fse/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fse/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.fse | 81.9 | 0.882 |
|
Helsinki-NLP/opus-mt-fi-ho | 9b94e0c9ad7c60098901861e9ede174b52ece194 | 2021-09-09T21:48:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"ho",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-ho | 6 | null | transformers | 14,836 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-ho
* source languages: fi
* target languages: ho
* OPUS readme: [fi-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ho/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ho/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ho/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ho/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ho | 25.7 | 0.496 |
|
Helsinki-NLP/opus-mt-fi-kqn | e5d51aade5232aa42a1e69877073cb85cfc4b3a0 | 2021-09-09T21:48:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"kqn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-kqn | 6 | null | transformers | 14,837 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-kqn
* source languages: fi
* target languages: kqn
* OPUS readme: [fi-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-kqn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-kqn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-kqn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-kqn/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.kqn | 22.3 | 0.476 |
|
Helsinki-NLP/opus-mt-fi-lg | d761ed325410dc91fda05833d97411193dc1ae22 | 2021-09-09T21:49:00.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"lg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-lg | 6 | null | transformers | 14,838 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-lg
* source languages: fi
* target languages: lg
* OPUS readme: [fi-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lg | 21.7 | 0.473 |
|
Helsinki-NLP/opus-mt-fi-ln | c58befcaab6f0fdd6d2cb028d93425c27c6e5524 | 2021-09-09T21:49:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"ln",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-ln | 6 | null | transformers | 14,839 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-ln
* source languages: fi
* target languages: ln
* OPUS readme: [fi-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ln/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ln | 29.2 | 0.536 |
|
Helsinki-NLP/opus-mt-fi-sm | b98501c9e028fbe38ff4e302cec2724e238a9d1c | 2021-09-09T21:50:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"sm",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-sm | 6 | null | transformers | 14,840 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-sm
* source languages: fi
* target languages: sm
* OPUS readme: [fi-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sm/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sm/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sm/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sm/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sm | 24.0 | 0.443 |
|
Helsinki-NLP/opus-mt-fi-sq | d780160ec70266cce0da52bef4e492e18ce36338 | 2021-09-09T21:50:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"sq",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-sq | 6 | null | transformers | 14,841 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-sq
* source languages: fi
* target languages: sq
* OPUS readme: [fi-sq](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sq/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sq/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sq/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sq/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sq | 32.0 | 0.535 |
|
Helsinki-NLP/opus-mt-fr-bg | 3cc70e5d3637dba3c286d5d1c217cf2097ae8b4f | 2021-01-18T08:41:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-bg | 6 | null | transformers | 14,842 | ---
language:
- fr
- bg
tags:
- translation
license: apache-2.0
---
### fra-bul
* source group: French
* target group: Bulgarian
* OPUS readme: [fra-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-bul/README.md)
* model: transformer
* source language(s): fra
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.bul | 46.3 | 0.657 |
### System Info:
- hf_name: fra-bul
- source_languages: fra
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'bg']
- src_constituents: {'fra'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.test.txt
- src_alpha3: fra
- tgt_alpha3: bul
- short_pair: fr-bg
- chrF2_score: 0.657
- bleu: 46.3
- brevity_penalty: 0.953
- ref_len: 3286.0
- src_name: French
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: fr
- tgt_alpha2: bg
- prefer_old: False
- long_pair: fra-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-fr-hil | 0c1aec453e52b5c21e1cbbddf4ebbf939cb1c768 | 2021-09-09T21:54:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"hil",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-hil | 6 | null | transformers | 14,843 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-hil
* source languages: fr
* target languages: hil
* OPUS readme: [fr-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.hil | 34.7 | 0.559 |
|
Helsinki-NLP/opus-mt-fr-hr | a65485dace0b44c378df8b45f18ca1e2fd8f1fc5 | 2021-09-09T21:54:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"hr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-hr | 6 | null | transformers | 14,844 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-hr
* source languages: fr
* target languages: hr
* OPUS readme: [fr-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.hr | 20.7 | 0.442 |
|
Helsinki-NLP/opus-mt-fr-lu | 13dc0008662a24d0d16278d73c88a767888b879b | 2021-09-09T21:55:13.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"lu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-lu | 6 | null | transformers | 14,845 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-lu
* source languages: fr
* target languages: lu
* OPUS readme: [fr-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lu | 25.5 | 0.471 |
|
Helsinki-NLP/opus-mt-fr-niu | 4e2e464dc51b0eafdc73e3f79b3a3f0ca8350b8a | 2021-09-09T21:55:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"niu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-niu | 6 | null | transformers | 14,846 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-niu
* source languages: fr
* target languages: niu
* OPUS readme: [fr-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-niu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.niu | 34.5 | 0.537 |
|
Helsinki-NLP/opus-mt-fr-run | 1093453d704e6a7fed33cf9523690fec547a3929 | 2021-09-09T21:56:30.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"run",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-run | 6 | null | transformers | 14,847 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-run
* source languages: fr
* target languages: run
* OPUS readme: [fr-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-run/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.run | 23.8 | 0.482 |
|
Helsinki-NLP/opus-mt-fr-sk | ab33e3f042b91091ace7dd76f948b02149977ddc | 2021-09-09T21:56:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"sk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-sk | 6 | null | transformers | 14,848 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-sk
* source languages: fr
* target languages: sk
* OPUS readme: [fr-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sk | 24.9 | 0.456 |
|
Helsinki-NLP/opus-mt-fr-tvl | 9e66c04469dbef4539df4b1119dd8cd47f421339 | 2021-09-09T21:57:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"tvl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-tvl | 6 | null | transformers | 14,849 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-tvl
* source languages: fr
* target languages: tvl
* OPUS readme: [fr-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tvl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tvl | 32.6 | 0.497 |
|
Helsinki-NLP/opus-mt-fr-tw | aaa01e897ab16adfc0ad1f8346ebf18b50ebc541 | 2021-09-09T21:57:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"tw",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-tw | 6 | null | transformers | 14,850 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-tw
* source languages: fr
* target languages: tw
* OPUS readme: [fr-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tw | 27.9 | 0.469 |
|
Helsinki-NLP/opus-mt-gil-es | e6bfaa91930cd4d371382263a28711503cf6073a | 2021-09-09T21:59:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"gil",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-gil-es | 6 | null | transformers | 14,851 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gil-es
* source languages: gil
* target languages: es
* OPUS readme: [gil-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gil.es | 21.8 | 0.398 |
|
Helsinki-NLP/opus-mt-gil-fr | f35de2b01f1bc4b25478876851692c4109159c67 | 2021-09-09T21:59:18.000Z | [
"pytorch",
"marian",
"text2text-generation",
"gil",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-gil-fr | 6 | null | transformers | 14,852 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gil-fr
* source languages: gil
* target languages: fr
* OPUS readme: [gil-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gil.fr | 24.9 | 0.424 |
|
Helsinki-NLP/opus-mt-guw-fi | c2a42ddaec019cfe7affbf69b76dcd77e4e29a60 | 2021-09-09T21:59:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"guw",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-guw-fi | 6 | null | transformers | 14,853 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-guw-fi
* source languages: guw
* target languages: fi
* OPUS readme: [guw-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/guw-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.guw.fi | 27.7 | 0.512 |
|
Helsinki-NLP/opus-mt-ha-es | d6ad90c29e80e629a51fcb7bcbc3e6792a7fdeda | 2021-09-09T22:00:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ha",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ha-es | 6 | null | transformers | 14,854 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ha-es
* source languages: ha
* target languages: es
* OPUS readme: [ha-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ha-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ha-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ha.es | 21.8 | 0.394 |
|
Helsinki-NLP/opus-mt-hr-fr | a2dd5c408f8649863155b87d1ed15c9e9800d5a1 | 2021-09-09T22:10:21.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hr",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-hr-fr | 6 | null | transformers | 14,855 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hr-fr
* source languages: hr
* target languages: fr
* OPUS readme: [hr-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hr-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hr-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.hr.fr | 26.1 | 0.482 |
|
Helsinki-NLP/opus-mt-hr-sv | 33f04970a09c5ba579f0d3a15b7c07eccdaceeec | 2021-09-09T22:10:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hr",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-hr-sv | 6 | null | transformers | 14,856 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hr-sv
* source languages: hr
* target languages: sv
* OPUS readme: [hr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hr-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hr-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.hr.sv | 30.5 | 0.526 |
|
Helsinki-NLP/opus-mt-ht-fr | 784654396300eeb0c87b209bbb9d6245fc38a911 | 2021-09-09T22:10:39.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ht",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ht-fr | 6 | null | transformers | 14,857 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ht-fr
* source languages: ht
* target languages: fr
* OPUS readme: [ht-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ht-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ht.fr | 28.4 | 0.469 |
|
Helsinki-NLP/opus-mt-ig-fr | 3c8c601afec187fba37dc4864235e0004bd40565 | 2021-09-09T22:11:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ig",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ig-fr | 6 | null | transformers | 14,858 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ig-fr
* source languages: ig
* target languages: fr
* OPUS readme: [ig-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ig-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ig.fr | 25.6 | 0.427 |
|
Helsinki-NLP/opus-mt-is-es | 40ad93a9a3ad129aebcc85f2fd3f6476e43f39b9 | 2020-08-21T14:42:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"is",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-is-es | 6 | null | transformers | 14,859 | ---
language:
- is
- es
tags:
- translation
license: apache-2.0
---
### isl-spa
* source group: Icelandic
* target group: Spanish
* OPUS readme: [isl-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-spa/README.md)
* model: transformer-align
* source language(s): isl
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.isl.spa | 51.2 | 0.665 |
### System Info:
- hf_name: isl-spa
- source_languages: isl
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['is', 'es']
- src_constituents: {'isl'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.test.txt
- src_alpha3: isl
- tgt_alpha3: spa
- short_pair: is-es
- chrF2_score: 0.665
- bleu: 51.2
- brevity_penalty: 0.985
- ref_len: 1229.0
- src_name: Icelandic
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: is
- tgt_alpha2: es
- prefer_old: False
- long_pair: isl-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-it-bg | 13913053a8a8f016f1fd110e18b12f9f7e2d7a13 | 2020-08-21T14:42:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"it",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-it-bg | 6 | null | transformers | 14,860 | ---
language:
- it
- bg
tags:
- translation
license: apache-2.0
---
### ita-bul
* source group: Italian
* target group: Bulgarian
* OPUS readme: [ita-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md)
* model: transformer
* source language(s): ita
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.bul | 47.9 | 0.664 |
### System Info:
- hf_name: ita-bul
- source_languages: ita
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'bg']
- src_constituents: {'ita'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt
- src_alpha3: ita
- tgt_alpha3: bul
- short_pair: it-bg
- chrF2_score: 0.664
- bleu: 47.9
- brevity_penalty: 0.961
- ref_len: 16512.0
- src_name: Italian
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: it
- tgt_alpha2: bg
- prefer_old: False
- long_pair: ita-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-kqn-fr | e5d55c80300a7bb8eb98964738a11f4ece7a789c | 2021-09-10T13:54:17.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kqn",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kqn-fr | 6 | null | transformers | 14,861 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kqn-fr
* source languages: kqn
* target languages: fr
* OPUS readme: [kqn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.fr | 23.2 | 0.400 |
|
Helsinki-NLP/opus-mt-kwy-sv | e6a2ff8bd758d49781cce3fb210ee0fd90bfc6aa | 2021-09-10T13:54:35.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kwy",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kwy-sv | 6 | null | transformers | 14,862 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kwy-sv
* source languages: kwy
* target languages: sv
* OPUS readme: [kwy-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kwy.sv | 20.2 | 0.373 |
|
Helsinki-NLP/opus-mt-ln-fr | af92cf5f36f1417ce7f752b1972b5cb131746834 | 2021-09-10T13:55:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ln",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ln-fr | 6 | null | transformers | 14,863 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ln-fr
* source languages: ln
* target languages: fr
* OPUS readme: [ln-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ln.fr | 28.4 | 0.456 |
|
Helsinki-NLP/opus-mt-loz-fi | 75f7c4bf5ad52e9926fb6cff4e377d6cd0d96a36 | 2021-09-10T13:55:23.000Z | [
"pytorch",
"marian",
"text2text-generation",
"loz",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-loz-fi | 6 | null | transformers | 14,864 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-loz-fi
* source languages: loz
* target languages: fi
* OPUS readme: [loz-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.fi | 25.1 | 0.467 |
|
Helsinki-NLP/opus-mt-loz-sv | c06498c4b10a89b866bc88f7da825db34d502ad8 | 2021-09-10T13:55:30.000Z | [
"pytorch",
"marian",
"text2text-generation",
"loz",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-loz-sv | 6 | null | transformers | 14,865 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-loz-sv
* source languages: loz
* target languages: sv
* OPUS readme: [loz-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.sv | 30.0 | 0.477 |
|
Helsinki-NLP/opus-mt-lt-sv | 82720c7153ca459fc8be5be2fe61a56e8ddb4d5b | 2021-09-10T13:55:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lt",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lt-sv | 6 | null | transformers | 14,866 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lt-sv
* source languages: lt
* target languages: sv
* OPUS readme: [lt-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lt.sv | 22.9 | 0.447 |
|
Helsinki-NLP/opus-mt-lu-es | 19f6dfbc2a55b6620bdda160058eab577be34881 | 2021-09-10T13:55:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lu",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lu-es | 6 | null | transformers | 14,867 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lu-es
* source languages: lu
* target languages: es
* OPUS readme: [lu-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lu.es | 22.4 | 0.400 |
|
Helsinki-NLP/opus-mt-lua-sv | 28981ce8764e1bca52ccf57ccf6a33d0020a79a9 | 2021-09-10T13:56:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lua",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lua-sv | 6 | null | transformers | 14,868 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lua-sv
* source languages: lua
* target languages: sv
* OPUS readme: [lua-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lua.sv | 25.7 | 0.437 |
|
Helsinki-NLP/opus-mt-lue-es | 776cef883f389224814521213222469e344f9da2 | 2021-09-10T13:56:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lue",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lue-es | 6 | null | transformers | 14,869 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lue-es
* source languages: lue
* target languages: es
* OPUS readme: [lue-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lue.es | 22.8 | 0.399 |
|
Helsinki-NLP/opus-mt-lue-fi | 999f9cd82b30b662852bdd03716cfb99048cd1ae | 2021-09-10T13:56:30.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lue",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lue-fi | 6 | null | transformers | 14,870 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lue-fi
* source languages: lue
* target languages: fi
* OPUS readme: [lue-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lue.fi | 22.1 | 0.427 |
|
Helsinki-NLP/opus-mt-lue-fr | 04b02b2a3ae8b241d0e03b72e2eb9c309b33c86b | 2021-09-10T13:56:33.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lue",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lue-fr | 6 | null | transformers | 14,871 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lue-fr
* source languages: lue
* target languages: fr
* OPUS readme: [lue-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lue.fr | 24.1 | 0.407 |
|
Helsinki-NLP/opus-mt-mfs-es | f46dde2716397fa6beb4cff585d0d3e5381424a8 | 2021-09-10T13:57:33.000Z | [
"pytorch",
"marian",
"text2text-generation",
"mfs",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-mfs-es | 6 | null | transformers | 14,872 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mfs-es
* source languages: mfs
* target languages: es
* OPUS readme: [mfs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mfs-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mfs-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfs-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfs-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.mfs.es | 88.9 | 0.910 |
|
Helsinki-NLP/opus-mt-mt-es | c3fa557070cf237a80ebf0cf3dc8f7105cc54238 | 2021-09-10T13:58:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"mt",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-mt-es | 6 | null | transformers | 14,873 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mt-es
* source languages: mt
* target languages: es
* OPUS readme: [mt-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mt-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.mt.es | 27.1 | 0.471 |
|
Helsinki-NLP/opus-mt-niu-de | be0f354485c46fa79d23b6a4fb6351ce7bf766f3 | 2021-09-10T13:58:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"niu",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-niu-de | 6 | null | transformers | 14,874 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-niu-de
* source languages: niu
* target languages: de
* OPUS readme: [niu-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/niu-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-de/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.niu.de | 20.2 | 0.395 |
|
Helsinki-NLP/opus-mt-no-uk | 6319715cb842b51876ebfd8e63c645798b59e76e | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"no",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-no-uk | 6 | null | transformers | 14,875 | ---
language:
- no
- uk
tags:
- translation
license: apache-2.0
---
### nor-ukr
* source group: Norwegian
* target group: Ukrainian
* OPUS readme: [nor-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-ukr/README.md)
* model: transformer-align
* source language(s): nob
* target language(s): ukr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.ukr | 16.6 | 0.384 |
### System Info:
- hf_name: nor-ukr
- source_languages: nor
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'uk']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: ukr
- short_pair: no-uk
- chrF2_score: 0.384
- bleu: 16.6
- brevity_penalty: 1.0
- ref_len: 3982.0
- src_name: Norwegian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: uk
- prefer_old: False
- long_pair: nor-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-nso-de | bb41bd30688e65ab206b0945b4d09f75724ebf86 | 2021-09-10T13:59:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"nso",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-nso-de | 6 | null | transformers | 14,876 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nso-de
* source languages: nso
* target languages: de
* OPUS readme: [nso-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/nso-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-de/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.nso.de | 24.7 | 0.461 |
|
Helsinki-NLP/opus-mt-nso-fr | e745ac202a0fd288731f03ba4f9343573cbf005f | 2021-09-10T13:59:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"nso",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-nso-fr | 6 | null | transformers | 14,877 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nso-fr
* source languages: nso
* target languages: fr
* OPUS readme: [nso-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/nso-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.nso.fr | 30.7 | 0.488 |
|
Helsinki-NLP/opus-mt-pap-fi | b8453594753b04e1fd886e10721b861815e90e88 | 2021-09-10T14:00:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pap",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pap-fi | 6 | null | transformers | 14,878 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pap-fi
* source languages: pap
* target languages: fi
* OPUS readme: [pap-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pap-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/pap-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pap.fi | 27.7 | 0.520 |
|
Helsinki-NLP/opus-mt-pis-sv | b77ff3fd2f17ab53b525a5e6f647e4b7b61fd56e | 2021-09-10T14:01:07.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pis",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pis-sv | 6 | null | transformers | 14,879 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pis-sv
* source languages: pis
* target languages: sv
* OPUS readme: [pis-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pis-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pis-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pis.sv | 25.9 | 0.442 |
|
Helsinki-NLP/opus-mt-pl-lt | 08d8f3e7f36c0f86a9db44a7c26e006d7911da54 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pl",
"lt",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pl-lt | 6 | null | transformers | 14,880 | ---
language:
- pl
- lt
tags:
- translation
license: apache-2.0
---
### pol-lit
* source group: Polish
* target group: Lithuanian
* OPUS readme: [pol-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-lit/README.md)
* model: transformer-align
* source language(s): pol
* target language(s): lit
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.lit | 43.7 | 0.688 |
### System Info:
- hf_name: pol-lit
- source_languages: pol
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'lt']
- src_constituents: {'pol'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.test.txt
- src_alpha3: pol
- tgt_alpha3: lit
- short_pair: pl-lt
- chrF2_score: 0.688
- bleu: 43.7
- brevity_penalty: 0.981
- ref_len: 10084.0
- src_name: Polish
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: pl
- tgt_alpha2: lt
- prefer_old: False
- long_pair: pol-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-pl-sv | 1a1dafe6e974aee2cdb10705d6e614ab071fe287 | 2021-09-10T14:01:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pl",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pl-sv | 6 | null | transformers | 14,881 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pl-sv
* source languages: pl
* target languages: sv
* OPUS readme: [pl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/pl-sv/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-sv/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-sv/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.sv | 58.9 | 0.717 |
|
Helsinki-NLP/opus-mt-pt-eo | 01e3599e27bfadc250dbea379200978aaa86437a | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pt",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pt-eo | 6 | null | transformers | 14,882 | ---
language:
- pt
- eo
tags:
- translation
license: apache-2.0
---
### por-epo
* source group: Portuguese
* target group: Esperanto
* OPUS readme: [por-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-epo/README.md)
* model: transformer-align
* source language(s): por
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.epo | 26.8 | 0.497 |
### System Info:
- hf_name: por-epo
- source_languages: por
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'eo']
- src_constituents: {'por'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.test.txt
- src_alpha3: por
- tgt_alpha3: epo
- short_pair: pt-eo
- chrF2_score: 0.49700000000000005
- bleu: 26.8
- brevity_penalty: 0.948
- ref_len: 87408.0
- src_name: Portuguese
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: pt
- tgt_alpha2: eo
- prefer_old: False
- long_pair: por-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-pt-tl | 0adc803858860bf3e5a12bd56236f63d31a7e26a | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pt",
"tl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pt-tl | 6 | null | transformers | 14,883 | ---
language:
- pt
- tl
tags:
- translation
license: apache-2.0
---
### por-tgl
* source group: Portuguese
* target group: Tagalog
* OPUS readme: [por-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-tgl/README.md)
* model: transformer-align
* source language(s): por
* target language(s): tgl_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.tgl | 28.4 | 0.565 |
### System Info:
- hf_name: por-tgl
- source_languages: por
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'tl']
- src_constituents: {'por'}
- tgt_constituents: {'tgl_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.test.txt
- src_alpha3: por
- tgt_alpha3: tgl
- short_pair: pt-tl
- chrF2_score: 0.565
- bleu: 28.4
- brevity_penalty: 1.0
- ref_len: 13620.0
- src_name: Portuguese
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: pt
- tgt_alpha2: tl
- prefer_old: False
- long_pair: por-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ro-eo | a27d842ad5a213af5930a2b9f876b389479b36bd | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ro",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ro-eo | 6 | null | transformers | 14,884 | ---
language:
- ro
- eo
tags:
- translation
license: apache-2.0
---
### ron-epo
* source group: Romanian
* target group: Esperanto
* OPUS readme: [ron-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ron-epo/README.md)
* model: transformer-align
* source language(s): ron
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ron.epo | 27.8 | 0.495 |
### System Info:
- hf_name: ron-epo
- source_languages: ron
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ron-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ro', 'eo']
- src_constituents: {'ron'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.test.txt
- src_alpha3: ron
- tgt_alpha3: epo
- short_pair: ro-eo
- chrF2_score: 0.495
- bleu: 27.8
- brevity_penalty: 0.955
- ref_len: 25751.0
- src_name: Romanian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: ro
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ron-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ru-lv | 7a0a531177307f7bf27507397ac64bd2897592ef | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ru",
"lv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ru-lv | 6 | null | transformers | 14,885 | ---
language:
- ru
- lv
tags:
- translation
license: apache-2.0
---
### rus-lav
* source group: Russian
* target group: Latvian
* OPUS readme: [rus-lav](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lav/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): lav
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.lav | 50.0 | 0.696 |
### System Info:
- hf_name: rus-lav
- source_languages: rus
- target_languages: lav
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lav/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'lv']
- src_constituents: {'rus'}
- tgt_constituents: {'lav'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: lav
- short_pair: ru-lv
- chrF2_score: 0.696
- bleu: 50.0
- brevity_penalty: 0.968
- ref_len: 1518.0
- src_name: Russian
- tgt_name: Latvian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: lv
- prefer_old: False
- long_pair: rus-lav
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-rw-es | 95971cc58eab5fc93def7a68794da1c7d4326688 | 2021-09-10T14:02:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"rw",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-rw-es | 6 | null | transformers | 14,886 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-rw-es
* source languages: rw
* target languages: es
* OPUS readme: [rw-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rw-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.rw.es | 26.2 | 0.445 |
|
Helsinki-NLP/opus-mt-sh-eo | 5b87d3fc996e21b1fc3151f72fc458309d8bf71f | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sh",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sh-eo | 6 | null | transformers | 14,887 | ---
language:
- sh
- eo
tags:
- translation
license: apache-2.0
---
### hbs-epo
* source group: Serbo-Croatian
* target group: Esperanto
* OPUS readme: [hbs-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-epo/README.md)
* model: transformer-align
* source language(s): bos_Latn hrv srp_Cyrl srp_Latn
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hbs.epo | 18.7 | 0.383 |
### System Info:
- hf_name: hbs-epo
- source_languages: hbs
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sh', 'eo']
- src_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.test.txt
- src_alpha3: hbs
- tgt_alpha3: epo
- short_pair: sh-eo
- chrF2_score: 0.38299999999999995
- bleu: 18.7
- brevity_penalty: 0.9990000000000001
- ref_len: 18457.0
- src_name: Serbo-Croatian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: sh
- tgt_alpha2: eo
- prefer_old: False
- long_pair: hbs-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-sh-uk | 993198054d889b854c4f3afafc344f16a292154b | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sh",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sh-uk | 6 | null | transformers | 14,888 | ---
language:
- sh
- uk
tags:
- translation
license: apache-2.0
---
### hbs-ukr
* source group: Serbo-Croatian
* target group: Ukrainian
* OPUS readme: [hbs-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-ukr/README.md)
* model: transformer-align
* source language(s): hrv srp_Cyrl srp_Latn
* target language(s): ukr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hbs.ukr | 49.6 | 0.665 |
### System Info:
- hf_name: hbs-ukr
- source_languages: hbs
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sh', 'uk']
- src_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.test.txt
- src_alpha3: hbs
- tgt_alpha3: ukr
- short_pair: sh-uk
- chrF2_score: 0.665
- bleu: 49.6
- brevity_penalty: 0.9840000000000001
- ref_len: 4959.0
- src_name: Serbo-Croatian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: sh
- tgt_alpha2: uk
- prefer_old: False
- long_pair: hbs-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-sm-es | e8afa4b90cb0dda94f7a6723b666e404b4358ee0 | 2021-09-10T14:03:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sm",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sm-es | 6 | null | transformers | 14,889 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sm-es
* source languages: sm
* target languages: es
* OPUS readme: [sm-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sm.es | 21.3 | 0.390 |
|
Helsinki-NLP/opus-mt-sm-fr | 2f3d01e05dc9711128d45bb2a5e0c2da2e4a1d5f | 2021-09-10T14:04:01.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sm",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sm-fr | 6 | null | transformers | 14,890 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sm-fr
* source languages: sm
* target languages: fr
* OPUS readme: [sm-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sm.fr | 24.6 | 0.419 |
|
Helsinki-NLP/opus-mt-sv-af | 0219cee3073ab70cef4904f7c6cc39c846b699cc | 2021-09-10T14:05:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"af",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-af | 6 | null | transformers | 14,891 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-af
* source languages: sv
* target languages: af
* OPUS readme: [sv-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-af/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-af/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-af/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-af/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.af | 44.4 | 0.623 |
|
Helsinki-NLP/opus-mt-sv-ase | 4f6f09937e6994635ac92188a10e501814725a51 | 2021-09-10T14:05:24.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"ase",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-ase | 6 | null | transformers | 14,892 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ase
* source languages: sv
* target languages: ase
* OPUS readme: [sv-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ase/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ase/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ase/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ase/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ase | 40.5 | 0.572 |
|
Helsinki-NLP/opus-mt-sv-bg | d410bc338364628443328820404af742a0930ea4 | 2021-09-10T14:05:35.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-bg | 6 | null | transformers | 14,893 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-bg
* source languages: sv
* target languages: bg
* OPUS readme: [sv-bg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-bg/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bg/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bg/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.bg | 29.6 | 0.509 |
|
Helsinki-NLP/opus-mt-sv-cs | 29ac3a36fbfb485b8c7d1e92e2a2f195e9dbb3d1 | 2021-09-10T14:05:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"cs",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-cs | 6 | null | transformers | 14,894 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-cs
* source languages: sv
* target languages: cs
* OPUS readme: [sv-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-cs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-cs/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-cs/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-cs/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.cs | 27.5 | 0.488 |
|
Helsinki-NLP/opus-mt-sv-hil | 62e8c007c269d0a9adb717f304755dafe70fc872 | 2021-09-10T14:06:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"hil",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-hil | 6 | null | transformers | 14,895 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-hil
* source languages: sv
* target languages: hil
* OPUS readme: [sv-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-hil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-hil/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hil/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hil/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.hil | 38.2 | 0.610 |
|
Helsinki-NLP/opus-mt-sv-hr | aff9531529ba70329818843ed9966b4b8f9326b2 | 2021-09-10T14:07:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"hr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-hr | 6 | null | transformers | 14,896 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-hr
* source languages: sv
* target languages: hr
* OPUS readme: [sv-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-hr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-hr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.hr | 25.7 | 0.498 |
|
Helsinki-NLP/opus-mt-sv-ig | 36bf04a161f73059dbd2d74a00c6557b09e1653c | 2021-09-10T14:07:18.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"ig",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-ig | 6 | null | transformers | 14,897 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ig
* source languages: sv
* target languages: ig
* OPUS readme: [sv-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ig/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ig/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ig/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ig/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ig | 31.1 | 0.479 |
|
Helsinki-NLP/opus-mt-sv-kqn | 3a50a95f0e95eeceb1cec34bd7f670780137247d | 2021-09-10T14:07:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"kqn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-kqn | 6 | null | transformers | 14,898 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-kqn
* source languages: sv
* target languages: kqn
* OPUS readme: [sv-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-kqn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-kqn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kqn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kqn/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.kqn | 24.0 | 0.491 |
|
Helsinki-NLP/opus-mt-sv-lue | e436c43039688996cf60065d9dc20b6a2718f231 | 2021-09-10T14:07:59.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"lue",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-lue | 6 | null | transformers | 14,899 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-lue
* source languages: sv
* target languages: lue
* OPUS readme: [sv-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lue/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-lue/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lue/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lue/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.lue | 22.6 | 0.502 |
|
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