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Geotrend/distilbert-base-en-pl-cased | 61df8fb99b7621a5d3509bc5fc5b605f5859edeb | 2021-07-27T18:59:24.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-en-pl-cased | 4 | null | transformers | 17,800 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-en-pl-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-en-pl-cased")
model = AutoModel.from_pretrained("Geotrend/distilbert-base-en-pl-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. |
Geotrend/distilbert-base-en-ru-cased | dfdd64519be98dda2ec87fc158de2390cbf8173a | 2021-08-16T14:02:18.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-en-ru-cased | 4 | null | transformers | 17,801 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-en-ru-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-en-ru-cased")
model = AutoModel.from_pretrained("Geotrend/distilbert-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{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. |
Geotrend/distilbert-base-en-uk-cased | 2b69a9d4b491fc507c1ac8a8ca34a20bd3a65420 | 2021-07-26T21:26:11.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-en-uk-cased | 4 | null | transformers | 17,802 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-en-uk-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-en-uk-cased")
model = AutoModel.from_pretrained("Geotrend/distilbert-base-en-uk-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. |
Geotrend/distilbert-base-en-zh-hi-cased | c52c4d74d76fb4adbe5b2a6d0813711557ee9840 | 2021-07-29T03:19:43.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-en-zh-hi-cased | 4 | null | transformers | 17,803 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-en-zh-hi-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-en-zh-hi-cased")
model = AutoModel.from_pretrained("Geotrend/distilbert-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{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. |
Geotrend/distilbert-base-pt-cased | c08ee56376bce2864b099b665c5271dd73122b0e | 2021-07-28T16:28:06.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"pt",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-pt-cased | 4 | 1 | transformers | 17,804 | ---
language: pt
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-pt-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-pt-cased")
model = AutoModel.from_pretrained("Geotrend/distilbert-base-pt-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. |
Gerasimos/wav2vec2-large-xls-r-300m-greek | 6c4136101deee4a86336df1e53c99c4843ff1939 | 2022-02-07T03:06:59.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | Gerasimos | null | Gerasimos/wav2vec2-large-xls-r-300m-greek | 4 | null | transformers | 17,805 | ---
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-greek
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-greek
This model was trained from scratch on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4823
- Wer: 0.3338
## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0106 | 1.72 | 200 | 0.5519 | 0.3537 |
| 0.0249 | 3.45 | 400 | 0.5174 | 0.3465 |
| 0.0206 | 5.17 | 600 | 0.4721 | 0.3323 |
| 0.0221 | 6.89 | 800 | 0.4652 | 0.3373 |
| 0.0204 | 8.62 | 1000 | 0.4883 | 0.3389 |
| 0.0192 | 10.34 | 1200 | 0.4785 | 0.3389 |
| 0.0186 | 12.07 | 1400 | 0.4789 | 0.3378 |
| 0.0172 | 13.79 | 1600 | 0.4915 | 0.3347 |
| 0.0184 | 15.52 | 1800 | 0.4759 | 0.3440 |
| 0.0168 | 17.24 | 2000 | 0.4891 | 0.3371 |
| 0.0155 | 18.96 | 2200 | 0.4928 | 0.3394 |
| 0.0146 | 20.69 | 2400 | 0.4834 | 0.3357 |
| 0.0146 | 22.41 | 2600 | 0.4814 | 0.3362 |
| 0.0151 | 24.14 | 2800 | 0.4791 | 0.3345 |
| 0.0136 | 25.86 | 3000 | 0.4825 | 0.3356 |
| 0.0136 | 27.58 | 3200 | 0.4850 | 0.3351 |
| 0.0127 | 29.31 | 3400 | 0.4823 | 0.3338 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3
|
Ghana-NLP/robako-base-akuapem-twi-cased | 3c65d79a4469412c460d90520a3b3b52f33c257a | 2021-05-20T11:53:32.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Ghana-NLP | null | Ghana-NLP/robako-base-akuapem-twi-cased | 4 | null | transformers | 17,806 | Entry not found |
GroNLP/bert-base-dutch-cased-gronings | fde6e9c2f0b8812c14fa81131b0ca2057153abd2 | 2021-05-18T20:21:26.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"gos",
"arxiv:2105.02855",
"transformers",
"BERTje",
"autotrain_compatible"
] | fill-mask | false | GroNLP | null | GroNLP/bert-base-dutch-cased-gronings | 4 | null | transformers | 17,807 | ---
language: gos
tags:
- BERTje
---
Wietse de Vries • Martijn Bartelds • Malvina Nissim • Martijn Wieling
# Adapting Monolingual Models: Data can be Scarce when Language Similarity is High
This model is part of this paper + code:
- 📝 [Paper](https://arxiv.org/abs/2105.02855)
- 💻 [Code](https://github.com/wietsedv/low-resource-adapt)
## Models
The best fine-tuned models for Gronings and West Frisian are available on the HuggingFace model hub:
### Lexical layers
These models are identical to [BERTje](https://github.com/wietsedv/bertje), but with different lexical layers (`bert.embeddings.word_embeddings`).
- 🤗 [`GroNLP/bert-base-dutch-cased`](https://huggingface.co/GroNLP/bert-base-dutch-cased) (Dutch; source language)
- 🤗 [`GroNLP/bert-base-dutch-cased-gronings`](https://huggingface.co/GroNLP/bert-base-dutch-cased-gronings) (Gronings)
- 🤗 [`GroNLP/bert-base-dutch-cased-frisian`](https://huggingface.co/GroNLP/bert-base-dutch-cased-frisian) (West Frisian)
### POS tagging
These models share the same fine-tuned Transformer layers + classification head, but with the retrained lexical layers from the models above.
- 🤗 [`GroNLP/bert-base-dutch-cased-upos-alpino`](https://huggingface.co/GroNLP/bert-base-dutch-cased-upos-alpino) (Dutch)
- 🤗 [`GroNLP/bert-base-dutch-cased-upos-alpino-gronings`](https://huggingface.co/GroNLP/bert-base-dutch-cased-upos-alpino-gronings) (Gronings)
- 🤗 [`GroNLP/bert-base-dutch-cased-upos-alpino-frisian`](https://huggingface.co/GroNLP/bert-base-dutch-cased-upos-alpino-frisian) (West Frisian)
|
HScomcom/gpt2-theoffice | 4d45e714c4dc16a30762a3a725d0b5b58a3bcbbb | 2021-05-21T10:44:51.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | HScomcom | null | HScomcom/gpt2-theoffice | 4 | null | transformers | 17,808 | Entry not found |
HackMIT/double-agent | 6e8169d3cc13546fa7fcff796157a9b00055ba91 | 2021-08-04T06:43:07.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | HackMIT | null | HackMIT/double-agent | 4 | 1 | transformers | 17,809 | Entry not found |
Hamas/DialoGPT-large-jake4 | f3e5528c499a882ccdd47a3bf4f5b62e71512732 | 2022-01-23T10:14:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Hamas | null | Hamas/DialoGPT-large-jake4 | 4 | null | transformers | 17,810 | ---
tags:
- conversational
---
# Jake DialoGPT-large-jake
|
Harveenchadha/vakyansh-wav2vec2-sanskrit-sam-60 | 28c2078678b3674c2a29734d2e473c1e9325c295 | 2021-12-17T17:59:00.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | Harveenchadha | null | Harveenchadha/vakyansh-wav2vec2-sanskrit-sam-60 | 4 | 1 | transformers | 17,811 | Entry not found |
HelloRusk/t5-small-parasci | c253bbe69f860f7a8c2b64af0980b6cc26f6364f | 2021-06-23T02:25:53.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | HelloRusk | null | HelloRusk/t5-small-parasci | 4 | null | transformers | 17,812 | Entry not found |
Helsinki-NLP/opus-mt-bg-eo | 07a17b73f82ae99e9ccfd7505204fe8f676ab346 | 2021-01-18T07:50:35.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bg",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-bg-eo | 4 | null | transformers | 17,813 | ---
language:
- bg
- eo
tags:
- translation
license: apache-2.0
---
### bul-epo
* source group: Bulgarian
* target group: Esperanto
* OPUS readme: [bul-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-epo/README.md)
* model: transformer-align
* source language(s): bul
* 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/bul-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.epo | 24.5 | 0.438 |
### System Info:
- hf_name: bul-epo
- source_languages: bul
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bg', 'eo']
- src_constituents: {'bul', 'bul_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/bul-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-epo/opus-2020-06-16.test.txt
- src_alpha3: bul
- tgt_alpha3: epo
- short_pair: bg-eo
- chrF2_score: 0.43799999999999994
- bleu: 24.5
- brevity_penalty: 0.9670000000000001
- ref_len: 4043.0
- src_name: Bulgarian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: bg
- tgt_alpha2: eo
- prefer_old: False
- long_pair: bul-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ca-uk | 7da385506b14a943f172fad751ec08c9cbf76a49 | 2021-01-18T07:53:22.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ca",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ca-uk | 4 | null | transformers | 17,814 | ---
language:
- ca
- uk
tags:
- translation
license: apache-2.0
---
### cat-ukr
* source group: Catalan
* target group: Ukrainian
* OPUS readme: [cat-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ukr/README.md)
* model: transformer-align
* source language(s): cat
* target language(s): ukr
* 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/cat-ukr/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.cat.ukr | 28.6 | 0.503 |
### System Info:
- hf_name: cat-ukr
- source_languages: cat
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ca', 'uk']
- src_constituents: {'cat'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.test.txt
- src_alpha3: cat
- tgt_alpha3: ukr
- short_pair: ca-uk
- chrF2_score: 0.503
- bleu: 28.6
- brevity_penalty: 0.9670000000000001
- ref_len: 2438.0
- src_name: Catalan
- tgt_name: Ukrainian
- train_date: 2020-06-16
- src_alpha2: ca
- tgt_alpha2: uk
- prefer_old: False
- long_pair: cat-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-chk-es | c41790360ecb70331ba71c881db1c592b0923502 | 2021-09-09T21:28:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"chk",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-chk-es | 4 | null | transformers | 17,815 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-chk-es
* source languages: chk
* target languages: es
* OPUS readme: [chk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-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/chk-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.chk.es | 20.8 | 0.374 |
|
Helsinki-NLP/opus-mt-crs-es | 808d78b9c72092991bba047542192f26c3bff3b8 | 2021-09-09T21:29:03.000Z | [
"pytorch",
"marian",
"text2text-generation",
"crs",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-crs-es | 4 | null | transformers | 17,816 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-crs-es
* source languages: crs
* target languages: es
* OPUS readme: [crs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.crs.es | 26.1 | 0.445 |
|
Helsinki-NLP/opus-mt-crs-fi | e61325e6904fe87fbad3e6d978dca63fb4e766ba | 2021-09-09T21:29:06.000Z | [
"pytorch",
"marian",
"text2text-generation",
"crs",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-crs-fi | 4 | null | transformers | 17,817 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-crs-fi
* source languages: crs
* target languages: fi
* OPUS readme: [crs-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.crs.fi | 25.6 | 0.479 |
|
Helsinki-NLP/opus-mt-crs-fr | 341ed6222bcb84709acf9b8a3d5d57991b350c5e | 2021-09-09T21:29:10.000Z | [
"pytorch",
"marian",
"text2text-generation",
"crs",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-crs-fr | 4 | null | transformers | 17,818 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-crs-fr
* source languages: crs
* target languages: fr
* OPUS readme: [crs-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-fr/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/crs-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.crs.fr | 29.4 | 0.475 |
|
Helsinki-NLP/opus-mt-de-af | ed730aba14194ae9965c5f0d1eaa3bb87a045391 | 2021-01-18T07:57:33.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"af",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-af | 4 | null | transformers | 17,819 | ---
language:
- de
- af
tags:
- translation
license: apache-2.0
---
### deu-afr
* source group: German
* target group: Afrikaans
* OPUS readme: [deu-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-afr/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): afr
* 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-afr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.afr | 51.3 | 0.690 |
### System Info:
- hf_name: deu-afr
- source_languages: deu
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'af']
- src_constituents: {'deu'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: afr
- short_pair: de-af
- chrF2_score: 0.69
- bleu: 51.3
- brevity_penalty: 1.0
- ref_len: 9507.0
- src_name: German
- tgt_name: Afrikaans
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: af
- prefer_old: False
- long_pair: deu-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-ho | 6f07189ef39e3e609a24c45936c40e30fd6b3ef8 | 2021-09-09T21:31:39.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"ho",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-ho | 4 | null | transformers | 17,820 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-ho
* source languages: de
* target languages: ho
* OPUS readme: [de-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ho/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-ho/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ho/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ho/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ho | 22.6 | 0.461 |
|
Helsinki-NLP/opus-mt-de-hr | d1b7e5205290af5c36e8be8cd6d73f6b5d9bba5f | 2021-09-09T21:31:43.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"hr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-hr | 4 | null | transformers | 17,821 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-hr
* source languages: de
* target languages: hr
* OPUS readme: [de-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.hr | 42.6 | 0.643 |
|
Helsinki-NLP/opus-mt-de-kg | 495d68528e086b0ccea38761513241152e4f217f | 2021-09-09T21:32:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"kg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-kg | 4 | null | transformers | 17,822 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-kg
* source languages: de
* target languages: kg
* OPUS readme: [de-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-kg/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-kg/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-kg/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-kg/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.kg | 24.4 | 0.474 |
|
Helsinki-NLP/opus-mt-de-lua | 319b94b75439b497c0860a3fc80a34ecacb597a0 | 2021-09-09T21:32:24.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"lua",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-lua | 4 | null | transformers | 17,823 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-lua
* source languages: de
* target languages: lua
* OPUS readme: [de-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-lua/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-lua/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lua/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lua/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.lua | 23.1 | 0.467 |
|
Helsinki-NLP/opus-mt-efi-sv | c02cd07b017c7c71d4583dbd6050dfee383a1cf0 | 2021-09-09T21:33:43.000Z | [
"pytorch",
"marian",
"text2text-generation",
"efi",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-efi-sv | 4 | null | transformers | 17,824 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-efi-sv
* source languages: efi
* target languages: sv
* OPUS readme: [efi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-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/efi-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.sv | 26.8 | 0.447 |
|
Helsinki-NLP/opus-mt-en-euq | 571c6c1a4773543922c52f549127d9bd7239634c | 2021-01-18T08:07:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"euq",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-euq | 4 | null | transformers | 17,825 | ---
language:
- en
- euq
tags:
- translation
license: apache-2.0
---
### eng-euq
* source group: English
* target group: Basque (family)
* OPUS readme: [eng-euq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-euq/README.md)
* model: transformer
* source language(s): eng
* target language(s): eus
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.eus | 27.9 | 0.555 |
| Tatoeba-test.eng-eus.eng.eus | 27.9 | 0.555 |
### System Info:
- hf_name: eng-euq
- source_languages: eng
- target_languages: euq
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-euq/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'euq']
- src_constituents: {'eng'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: euq
- short_pair: en-euq
- chrF2_score: 0.555
- bleu: 27.9
- brevity_penalty: 0.917
- ref_len: 7080.0
- src_name: English
- tgt_name: Basque (family)
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: euq
- prefer_old: False
- long_pair: eng-euq
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-map | dea27177ff6b99e0366e1eea8f907cad9c553cfe | 2021-01-18T08:12:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"map",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-map | 4 | null | transformers | 17,826 | ---
language:
- en
- map
tags:
- translation
license: apache-2.0
---
### eng-map
* source group: English
* target group: Austronesian languages
* OPUS readme: [eng-map](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 2.2 | 0.103 |
| Tatoeba-test.eng-ceb.eng.ceb | 10.7 | 0.425 |
| Tatoeba-test.eng-cha.eng.cha | 3.2 | 0.201 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.5 | 0.120 |
| Tatoeba-test.eng-fij.eng.fij | 26.8 | 0.453 |
| Tatoeba-test.eng-gil.eng.gil | 59.3 | 0.762 |
| Tatoeba-test.eng-haw.eng.haw | 1.0 | 0.116 |
| Tatoeba-test.eng-hil.eng.hil | 19.0 | 0.517 |
| Tatoeba-test.eng-iba.eng.iba | 15.5 | 0.400 |
| Tatoeba-test.eng-ilo.eng.ilo | 33.6 | 0.591 |
| Tatoeba-test.eng-jav.eng.jav | 7.8 | 0.301 |
| Tatoeba-test.eng-lkt.eng.lkt | 1.0 | 0.064 |
| Tatoeba-test.eng-mad.eng.mad | 1.1 | 0.142 |
| Tatoeba-test.eng-mah.eng.mah | 9.1 | 0.374 |
| Tatoeba-test.eng-mlg.eng.mlg | 35.4 | 0.526 |
| Tatoeba-test.eng-mri.eng.mri | 7.6 | 0.309 |
| Tatoeba-test.eng-msa.eng.msa | 31.1 | 0.565 |
| Tatoeba-test.eng.multi | 17.6 | 0.411 |
| Tatoeba-test.eng-nau.eng.nau | 1.4 | 0.098 |
| Tatoeba-test.eng-niu.eng.niu | 40.1 | 0.560 |
| Tatoeba-test.eng-pag.eng.pag | 16.8 | 0.526 |
| Tatoeba-test.eng-pau.eng.pau | 1.9 | 0.139 |
| Tatoeba-test.eng-rap.eng.rap | 2.7 | 0.090 |
| Tatoeba-test.eng-smo.eng.smo | 24.9 | 0.453 |
| Tatoeba-test.eng-sun.eng.sun | 33.2 | 0.439 |
| Tatoeba-test.eng-tah.eng.tah | 12.5 | 0.278 |
| Tatoeba-test.eng-tet.eng.tet | 1.6 | 0.140 |
| Tatoeba-test.eng-ton.eng.ton | 25.8 | 0.530 |
| Tatoeba-test.eng-tvl.eng.tvl | 31.1 | 0.523 |
| Tatoeba-test.eng-war.eng.war | 12.8 | 0.436 |
### System Info:
- hf_name: eng-map
- source_languages: eng
- target_languages: map
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'map']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: map
- short_pair: en-map
- chrF2_score: 0.41100000000000003
- bleu: 17.6
- brevity_penalty: 1.0
- ref_len: 66963.0
- src_name: English
- tgt_name: Austronesian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: map
- prefer_old: False
- long_pair: eng-map
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-poz | de1a5a03cbd9583d6d016556de2fa257d382bc82 | 2021-01-18T08:14:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"poz",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-poz | 4 | null | transformers | 17,827 | ---
language:
- en
- poz
tags:
- translation
license: apache-2.0
---
### eng-poz
* source group: English
* target group: Malayo-Polynesian languages
* OPUS readme: [eng-poz](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 1.3 | 0.086 |
| Tatoeba-test.eng-ceb.eng.ceb | 10.2 | 0.426 |
| Tatoeba-test.eng-cha.eng.cha | 1.9 | 0.196 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.4 | 0.121 |
| Tatoeba-test.eng-fij.eng.fij | 31.0 | 0.463 |
| Tatoeba-test.eng-gil.eng.gil | 45.4 | 0.635 |
| Tatoeba-test.eng-haw.eng.haw | 0.6 | 0.104 |
| Tatoeba-test.eng-hil.eng.hil | 14.4 | 0.498 |
| Tatoeba-test.eng-iba.eng.iba | 17.4 | 0.414 |
| Tatoeba-test.eng-ilo.eng.ilo | 33.1 | 0.585 |
| Tatoeba-test.eng-jav.eng.jav | 6.5 | 0.309 |
| Tatoeba-test.eng-lkt.eng.lkt | 0.5 | 0.065 |
| Tatoeba-test.eng-mad.eng.mad | 1.7 | 0.156 |
| Tatoeba-test.eng-mah.eng.mah | 12.7 | 0.391 |
| Tatoeba-test.eng-mlg.eng.mlg | 30.3 | 0.504 |
| Tatoeba-test.eng-mri.eng.mri | 8.2 | 0.316 |
| Tatoeba-test.eng-msa.eng.msa | 30.4 | 0.561 |
| Tatoeba-test.eng.multi | 16.2 | 0.410 |
| Tatoeba-test.eng-nau.eng.nau | 0.6 | 0.087 |
| Tatoeba-test.eng-niu.eng.niu | 33.2 | 0.482 |
| Tatoeba-test.eng-pag.eng.pag | 19.4 | 0.555 |
| Tatoeba-test.eng-pau.eng.pau | 1.0 | 0.124 |
| Tatoeba-test.eng-rap.eng.rap | 1.4 | 0.090 |
| Tatoeba-test.eng-smo.eng.smo | 12.9 | 0.407 |
| Tatoeba-test.eng-sun.eng.sun | 15.5 | 0.364 |
| Tatoeba-test.eng-tah.eng.tah | 9.5 | 0.295 |
| Tatoeba-test.eng-tet.eng.tet | 1.2 | 0.146 |
| Tatoeba-test.eng-ton.eng.ton | 23.7 | 0.484 |
| Tatoeba-test.eng-tvl.eng.tvl | 32.5 | 0.549 |
| Tatoeba-test.eng-war.eng.war | 12.6 | 0.432 |
### System Info:
- hf_name: eng-poz
- source_languages: eng
- target_languages: poz
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'poz']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: poz
- short_pair: en-poz
- chrF2_score: 0.41
- bleu: 16.2
- brevity_penalty: 1.0
- ref_len: 66803.0
- src_name: English
- tgt_name: Malayo-Polynesian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: poz
- prefer_old: False
- long_pair: eng-poz
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-rn | 71bef793a48e4e06be81a56b4c241e8e7f7947e3 | 2021-01-18T08:14:53.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"rn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-rn | 4 | null | transformers | 17,828 | ---
language:
- en
- rn
tags:
- translation
license: apache-2.0
---
### eng-run
* source group: English
* target group: Rundi
* OPUS readme: [eng-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md)
* model: transformer-align
* source language(s): eng
* 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/eng-run/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.run | 10.4 | 0.436 |
### System Info:
- hf_name: eng-run
- source_languages: eng
- target_languages: run
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'rn']
- src_constituents: {'eng'}
- tgt_constituents: {'run'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: run
- short_pair: en-rn
- chrF2_score: 0.436
- bleu: 10.4
- brevity_penalty: 1.0
- ref_len: 6710.0
- src_name: English
- tgt_name: Rundi
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: rn
- prefer_old: False
- long_pair: eng-run
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-el | 1aab059b61df44e5ce50ceee14ba3c0f6ee17811 | 2021-01-18T08:20:13.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"el",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eo-el | 4 | null | transformers | 17,829 | ---
language:
- eo
- el
tags:
- translation
license: apache-2.0
---
### epo-ell
* source group: Esperanto
* target group: Modern Greek (1453-)
* OPUS readme: [epo-ell](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ell
* 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-ell/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ell | 23.2 | 0.438 |
### System Info:
- hf_name: epo-ell
- source_languages: epo
- target_languages: ell
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'el']
- src_constituents: {'epo'}
- tgt_constituents: {'ell'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ell
- short_pair: eo-el
- chrF2_score: 0.43799999999999994
- bleu: 23.2
- brevity_penalty: 0.9159999999999999
- ref_len: 3892.0
- src_name: Esperanto
- tgt_name: Modern Greek (1453-)
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: el
- prefer_old: False
- long_pair: epo-ell
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-pl | df457c7e95bf1c84c701f5104be4150f44f9571c | 2021-01-18T08:20:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"pl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eo-pl | 4 | null | transformers | 17,830 | ---
language:
- eo
- pl
tags:
- translation
license: apache-2.0
---
### epo-pol
* source group: Esperanto
* target group: Polish
* OPUS readme: [epo-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-pol/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): pol
* 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-pol/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.pol | 17.2 | 0.392 |
### System Info:
- hf_name: epo-pol
- source_languages: epo
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'pl']
- src_constituents: {'epo'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: pol
- short_pair: eo-pl
- chrF2_score: 0.392
- bleu: 17.2
- brevity_penalty: 0.893
- ref_len: 15343.0
- src_name: Esperanto
- tgt_name: Polish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: pl
- prefer_old: False
- long_pair: epo-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-sh | 64f5856d209b5a07a777256a4318aa48eadc4f63 | 2021-01-18T08:21:15.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"sh",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eo-sh | 4 | null | transformers | 17,831 | ---
language:
- eo
- sh
tags:
- translation
license: apache-2.0
---
### epo-hbs
* source group: Esperanto
* target group: Serbo-Croatian
* OPUS readme: [epo-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hbs/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): bos_Latn hrv srp_Cyrl srp_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.hbs | 13.6 | 0.351 |
### System Info:
- hf_name: epo-hbs
- source_languages: epo
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'sh']
- src_constituents: {'epo'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: hbs
- short_pair: eo-sh
- chrF2_score: 0.35100000000000003
- bleu: 13.6
- brevity_penalty: 0.888
- ref_len: 17999.0
- src_name: Esperanto
- tgt_name: Serbo-Croatian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: sh
- prefer_old: False
- long_pair: epo-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-es-ny | c3dca719a9c22b48dcacc38f13796eec0c9d7a37 | 2021-09-09T21:43:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"ny",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-ny | 4 | null | transformers | 17,832 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-ny
* source languages: es
* target languages: ny
* OPUS readme: [es-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ny/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/es-ny/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.ny | 22.9 | 0.494 |
|
Helsinki-NLP/opus-mt-fi-eo | b95b6bcf715ec72919e97f3920528a153e45ec1e | 2021-01-18T08:32:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-eo | 4 | null | transformers | 17,833 | ---
language:
- fi
- eo
tags:
- translation
license: apache-2.0
---
### fin-epo
* source group: Finnish
* target group: Esperanto
* OPUS readme: [fin-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md)
* model: transformer-align
* source language(s): fin
* 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/fin-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fin.epo | 22.5 | 0.413 |
### System Info:
- hf_name: fin-epo
- source_languages: fin
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fi', 'eo']
- src_constituents: {'fin'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt
- src_alpha3: fin
- tgt_alpha3: epo
- short_pair: fi-eo
- chrF2_score: 0.413
- bleu: 22.5
- brevity_penalty: 0.9490000000000001
- ref_len: 18881.0
- src_name: Finnish
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: fi
- tgt_alpha2: eo
- prefer_old: False
- long_pair: fin-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-fi-et | 88d3380300b6470fc499ff673212752682be1dcc | 2021-09-09T21:47:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"et",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-et | 4 | null | transformers | 17,834 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-et
* source languages: fi
* target languages: et
* OPUS readme: [fi-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-et/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-et/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.et | 25.2 | 0.519 |
|
Helsinki-NLP/opus-mt-fi-gil | dd615ce14d3db49d885ddbf271951aa3ec13fc97 | 2021-09-09T21:47:53.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"gil",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-gil | 4 | null | transformers | 17,835 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-gil
* source languages: fi
* target languages: gil
* OPUS readme: [fi-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-gil/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-gil/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-gil/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-gil/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.gil | 28.3 | 0.518 |
|
Helsinki-NLP/opus-mt-fi-hr | cecaa8283851cc3f95cdff36d47634c17d5fb059 | 2021-09-09T21:48:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"hr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-hr | 4 | null | transformers | 17,836 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-hr
* source languages: fi
* target languages: hr
* OPUS readme: [fi-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-hr/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-hr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.hr | 23.5 | 0.476 |
|
Helsinki-NLP/opus-mt-fi-mg | 44896c11088eda2d2185372a75ad53c7b0801751 | 2021-09-09T21:49:31.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"mg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-mg | 4 | null | transformers | 17,837 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-mg
* source languages: fi
* target languages: mg
* OPUS readme: [fi-mg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mg/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-mg/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mg/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mg/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mg | 21.7 | 0.468 |
|
Helsinki-NLP/opus-mt-fi-ny | d8d49b01d51e6f4f738dbe1dadc430a904c93172 | 2021-09-09T21:50:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"ny",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-ny | 4 | null | transformers | 17,838 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-ny
* source languages: fi
* target languages: ny
* OPUS readme: [fi-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ny/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-ny/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ny/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ny/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ny | 22.6 | 0.503 |
|
Helsinki-NLP/opus-mt-fi-run | d1efeaf1a7751e14be9b023bf3f3ad0a05cb6bf3 | 2021-09-09T21:50:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"run",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-run | 4 | null | transformers | 17,839 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-run
* source languages: fi
* target languages: run
* OPUS readme: [fi-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-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/fi-run/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-run/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-run/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.run | 23.2 | 0.498 |
|
Helsinki-NLP/opus-mt-fi-sn | 7c69b1c6aeed7a1bee28ad26f2460c9d4f367a87 | 2021-09-09T21:50:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"sn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-sn | 4 | null | transformers | 17,840 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-sn
* source languages: fi
* target languages: sn
* OPUS readme: [fi-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sn/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-sn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sn/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sn | 25.3 | 0.547 |
|
Helsinki-NLP/opus-mt-fi-zne | 99f139907aa5cf4b4ad9f195246def741fe1da21 | 2021-09-09T21:52:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"zne",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-zne | 4 | null | transformers | 17,841 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-zne
* source languages: fi
* target languages: zne
* OPUS readme: [fi-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-zne/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/fi-zne/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.zne | 22.7 | 0.464 |
|
Helsinki-NLP/opus-mt-fr-bem | a83726becfb12819424d28fdbd31261123fa9b41 | 2021-09-09T21:52:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"bem",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-bem | 4 | null | transformers | 17,842 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-bem
* source languages: fr
* target languages: bem
* OPUS readme: [fr-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bem/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-bem/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bem | 22.8 | 0.456 |
|
Helsinki-NLP/opus-mt-fr-iso | 57037375a9f76979af673081e8901834da17ba4c | 2021-09-09T21:54:43.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"iso",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-iso | 4 | null | transformers | 17,843 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-iso
* source languages: fr
* target languages: iso
* OPUS readme: [fr-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-iso/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-iso/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.iso | 26.7 | 0.429 |
|
Helsinki-NLP/opus-mt-fr-lus | 668a89df0aefbb6f18ff7718241265102462e1d2 | 2021-09-09T21:55:24.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"lus",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-lus | 4 | null | transformers | 17,844 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-lus
* source languages: fr
* target languages: lus
* OPUS readme: [fr-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lus/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-lus/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lus | 25.5 | 0.455 |
|
Helsinki-NLP/opus-mt-fr-mos | 4d69294986b06740b46d12a466741c06edccbac5 | 2021-09-09T21:55:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"mos",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-mos | 4 | null | transformers | 17,845 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-mos
* source languages: fr
* target languages: mos
* OPUS readme: [fr-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mos/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-mos/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mos | 21.1 | 0.353 |
|
Helsinki-NLP/opus-mt-fr-ny | 6818fbf930d8797da8f1cc588001ae850246a81d | 2021-09-09T21:55:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ny",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ny | 4 | null | transformers | 17,846 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ny
* source languages: fr
* target languages: ny
* OPUS readme: [fr-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ny/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-ny/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ny | 23.2 | 0.481 |
|
Helsinki-NLP/opus-mt-fr-ts | 2baeb276bfecad610147a4218b49af6739bb92e0 | 2021-09-09T21:57:36.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ts",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ts | 4 | null | transformers | 17,847 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ts
* source languages: fr
* target languages: ts
* OPUS readme: [fr-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ts/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-ts/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ts | 31.4 | 0.525 |
|
Helsinki-NLP/opus-mt-fr-ve | f50548feff7916a734ef18792044033262bfed02 | 2021-09-09T21:58:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ve",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ve | 4 | null | transformers | 17,848 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ve
* source languages: fr
* target languages: ve
* OPUS readme: [fr-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ve/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-ve/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ve | 26.3 | 0.481 |
|
Helsinki-NLP/opus-mt-fr-xh | 494745c9516e86d6fdfae5483a9d3d53ba712bef | 2021-09-09T21:58:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"xh",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-xh | 4 | null | transformers | 17,849 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-xh
* source languages: fr
* target languages: xh
* OPUS readme: [fr-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-xh/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-xh/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.xh | 25.1 | 0.523 |
|
Helsinki-NLP/opus-mt-gil-sv | c5790f181f90f170003183c39f4a6cd8994fe131 | 2021-09-09T21:59:22.000Z | [
"pytorch",
"marian",
"text2text-generation",
"gil",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-gil-sv | 4 | null | transformers | 17,850 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gil-sv
* source languages: gil
* target languages: sv
* OPUS readme: [gil-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-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/gil-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gil.sv | 25.8 | 0.441 |
|
Helsinki-NLP/opus-mt-ha-fr | 8a126772a2014bce01631cf05c30054744447fc5 | 2021-09-09T22:00:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ha",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ha-fr | 4 | null | transformers | 17,851 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ha-fr
* source languages: ha
* target languages: fr
* OPUS readme: [ha-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ha-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/ha-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ha.fr | 24.3 | 0.415 |
|
Helsinki-NLP/opus-mt-he-eo | 3182c2442c53cd06e25936d85e146b12d14e612d | 2021-01-18T08:54:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"he",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-he-eo | 4 | null | transformers | 17,852 | ---
language:
- he
- eo
tags:
- translation
license: apache-2.0
---
### heb-epo
* source group: Hebrew
* target group: Esperanto
* OPUS readme: [heb-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-epo/README.md)
* model: transformer-align
* source language(s): heb
* 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/heb-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.epo | 17.6 | 0.348 |
### System Info:
- hf_name: heb-epo
- source_languages: heb
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'eo']
- src_constituents: {'heb'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.test.txt
- src_alpha3: heb
- tgt_alpha3: epo
- short_pair: he-eo
- chrF2_score: 0.348
- bleu: 17.6
- brevity_penalty: 0.899
- ref_len: 78217.0
- src_name: Hebrew
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: he
- tgt_alpha2: eo
- prefer_old: False
- long_pair: heb-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-hil-fi | 9394132de6819260bcf0d44dad4edfb2fc3142b3 | 2021-09-09T22:10:07.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hil",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-hil-fi | 4 | null | transformers | 17,853 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hil-fi
* source languages: hil
* target languages: fi
* OPUS readme: [hil-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hil-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/hil-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.hil.fi | 29.9 | 0.547 |
|
Helsinki-NLP/opus-mt-ig-sv | 76e2f204ceb0b6f46f8062651d146b3c05419d5b | 2021-09-09T22:11:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ig",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ig-sv | 4 | null | transformers | 17,854 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ig-sv
* source languages: ig
* target languages: sv
* OPUS readme: [ig-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-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/ig-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ig.sv | 27.0 | 0.451 |
|
Helsinki-NLP/opus-mt-iso-es | e9a38e40425ab1369fb4d8f4de93c8faf99b8c9b | 2021-09-09T22:12:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"iso",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-iso-es | 4 | null | transformers | 17,855 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-iso-es
* source languages: iso
* target languages: es
* OPUS readme: [iso-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-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/iso-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.iso.es | 22.4 | 0.394 |
|
Helsinki-NLP/opus-mt-kqn-es | e6d1983b0aee7e704f820f2e2fae52106ab21837 | 2021-09-10T13:54:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kqn",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kqn-es | 4 | null | transformers | 17,856 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kqn-es
* source languages: kqn
* target languages: es
* OPUS readme: [kqn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-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/kqn-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.es | 20.9 | 0.378 |
|
Helsinki-NLP/opus-mt-lg-fi | f4f190736703f425f055a24e6d90810258945db2 | 2021-09-10T13:54:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lg",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lg-fi | 4 | null | transformers | 17,857 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lg-fi
* source languages: lg
* target languages: fi
* OPUS readme: [lg-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-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/lg-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lg.fi | 21.8 | 0.424 |
|
Helsinki-NLP/opus-mt-ln-es | 2652777fe12e33f189397c246cfca9938d78a577 | 2021-09-10T13:55:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ln",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ln-es | 4 | null | transformers | 17,858 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ln-es
* source languages: ln
* target languages: es
* OPUS readme: [ln-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-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/ln-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ln.es | 26.5 | 0.444 |
|
Helsinki-NLP/opus-mt-loz-es | 0535c5141a42f76881eec7a9934c1987df46a846 | 2021-09-10T13:55:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"loz",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-loz-es | 4 | null | transformers | 17,859 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-loz-es
* source languages: loz
* target languages: es
* OPUS readme: [loz-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-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/loz-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.es | 28.4 | 0.464 |
|
Helsinki-NLP/opus-mt-lt-pl | 89ec714f908c8437b47ce12ec9e73ab880411bd6 | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lt",
"pl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lt-pl | 4 | null | transformers | 17,860 | ---
language:
- lt
- pl
tags:
- translation
license: apache-2.0
---
### lit-pol
* source group: Lithuanian
* target group: Polish
* OPUS readme: [lit-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): pol
* 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/lit-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.pol | 53.6 | 0.721 |
### System Info:
- hf_name: lit-pol
- source_languages: lit
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'pl']
- src_constituents: {'lit'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: pol
- short_pair: lt-pl
- chrF2_score: 0.721
- bleu: 53.6
- brevity_penalty: 0.9570000000000001
- ref_len: 10629.0
- src_name: Lithuanian
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: pl
- prefer_old: False
- long_pair: lit-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-lu-fr | a60cb88d783a4103a013f95215051f7554e0bec0 | 2021-09-10T13:55:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lu",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lu-fr | 4 | null | transformers | 17,861 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lu-fr
* source languages: lu
* target languages: fr
* OPUS readme: [lu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-fr/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/lu-fr/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lu.fr | 26.4 | 0.431 |
|
Helsinki-NLP/opus-mt-lus-es | 5ec77352e29aef33c21cb4c175aba37660b76e08 | 2021-09-10T13:56:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lus",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lus-es | 4 | null | transformers | 17,862 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lus-es
* source languages: lus
* target languages: es
* OPUS readme: [lus-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lus.es | 21.6 | 0.389 |
|
Helsinki-NLP/opus-mt-lv-sv | 6a7d132f03d2d81e9d9330bfe6f91ead5e2e5d98 | 2021-09-10T13:57:22.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lv",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lv-sv | 4 | null | transformers | 17,863 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lv-sv
* source languages: lv
* target languages: sv
* OPUS readme: [lv-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lv.sv | 22.0 | 0.444 |
|
Helsinki-NLP/opus-mt-mk-fr | 970aeeed8410bc61b226fbc8f0c4daabb22ef30b | 2021-09-10T13:58:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"mk",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-mk-fr | 4 | null | transformers | 17,864 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mk-fr
* source languages: mk
* target languages: fr
* OPUS readme: [mk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-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/mk-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.mk.fr | 22.3 | 0.492 |
|
Helsinki-NLP/opus-mt-ms-de | 29f3de8eb95998ce1f427b4d0b3ad247dafd0b8b | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ms",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ms-de | 4 | null | transformers | 17,865 | ---
language:
- ms
- de
tags:
- translation
license: apache-2.0
---
### msa-deu
* source group: Malay (macrolanguage)
* target group: German
* OPUS readme: [msa-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-deu/README.md)
* model: transformer-align
* source language(s): ind zsm_Latn
* target language(s): deu
* 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/msa-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.msa.deu | 36.5 | 0.584 |
### System Info:
- hf_name: msa-deu
- source_languages: msa
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ms', 'de']
- src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.test.txt
- src_alpha3: msa
- tgt_alpha3: deu
- short_pair: ms-de
- chrF2_score: 0.584
- bleu: 36.5
- brevity_penalty: 0.966
- ref_len: 4198.0
- src_name: Malay (macrolanguage)
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: ms
- tgt_alpha2: de
- prefer_old: False
- long_pair: msa-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-niu-fi | 2c989373b5619bc1ac53c6b36a8d5d90b6fb450d | 2021-09-10T13:58:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"niu",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-niu-fi | 4 | null | transformers | 17,866 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-niu-fi
* source languages: niu
* target languages: fi
* OPUS readme: [niu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-fi/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/niu-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.niu.fi | 24.8 | 0.474 |
|
Helsinki-NLP/opus-mt-niu-fr | 22051c219d24e31fbd5020150b9c76e285e3a6d9 | 2021-09-10T13:58:59.000Z | [
"pytorch",
"marian",
"text2text-generation",
"niu",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-niu-fr | 4 | null | transformers | 17,867 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-niu-fr
* source languages: niu
* target languages: fr
* OPUS readme: [niu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-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/niu-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.niu.fr | 28.1 | 0.452 |
|
Helsinki-NLP/opus-mt-nl-af | c3563e6c1850ac3c76efcaee5829f83b91dc24e8 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"nl",
"af",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-nl-af | 4 | null | transformers | 17,868 | ---
language:
- nl
- af
tags:
- translation
license: apache-2.0
---
### nld-afr
* source group: Dutch
* target group: Afrikaans
* OPUS readme: [nld-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-afr/README.md)
* model: transformer-align
* source language(s): nld
* target language(s): afr
* 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/nld-afr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nld.afr | 57.8 | 0.749 |
### System Info:
- hf_name: nld-afr
- source_languages: nld
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'af']
- src_constituents: {'nld'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.test.txt
- src_alpha3: nld
- tgt_alpha3: afr
- short_pair: nl-af
- chrF2_score: 0.7490000000000001
- bleu: 57.8
- brevity_penalty: 1.0
- ref_len: 6823.0
- src_name: Dutch
- tgt_name: Afrikaans
- train_date: 2020-06-17
- src_alpha2: nl
- tgt_alpha2: af
- prefer_old: False
- long_pair: nld-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-nl-eo | 9d5c37718896a004609512eb10211350c24963c7 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"nl",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-nl-eo | 4 | null | transformers | 17,869 | ---
language:
- nl
- eo
tags:
- translation
license: apache-2.0
---
### nld-epo
* source group: Dutch
* target group: Esperanto
* OPUS readme: [nld-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-epo/README.md)
* model: transformer-align
* source language(s): nld
* 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/nld-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nld.epo | 16.1 | 0.355 |
### System Info:
- hf_name: nld-epo
- source_languages: nld
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'eo']
- src_constituents: {'nld'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.test.txt
- src_alpha3: nld
- tgt_alpha3: epo
- short_pair: nl-eo
- chrF2_score: 0.355
- bleu: 16.1
- brevity_penalty: 0.9359999999999999
- ref_len: 72293.0
- src_name: Dutch
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: nl
- tgt_alpha2: eo
- prefer_old: False
- long_pair: nld-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-no-no | b7777f2843509b5ef0692a78b15ecaa6005dbb4f | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"no",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-no-no | 4 | null | transformers | 17,870 | ---
language:
- no
tags:
- translation
license: apache-2.0
---
### nor-nor
* source group: Norwegian
* target group: Norwegian
* OPUS readme: [nor-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nor/README.md)
* model: transformer-align
* source language(s): nno nob
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* 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/nor-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.nor | 58.4 | 0.784 |
### System Info:
- hf_name: nor-nor
- source_languages: nor
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: nor
- short_pair: no-no
- chrF2_score: 0.784
- bleu: 58.4
- brevity_penalty: 0.988
- ref_len: 6351.0
- src_name: Norwegian
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: no
- prefer_old: False
- long_pair: nor-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-pag-es | d31790473f314c3cdeb901f6150076991e289ab3 | 2021-09-10T14:00:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pag",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pag-es | 4 | null | transformers | 17,871 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pag-es
* source languages: pag
* target languages: es
* OPUS readme: [pag-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-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/pag-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pag.es | 27.9 | 0.459 |
|
Helsinki-NLP/opus-mt-pon-es | 2219ae20a57e0ce0a00487b8fb74d80a07ed8cb0 | 2021-09-10T14:01:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pon",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pon-es | 4 | null | transformers | 17,872 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pon-es
* source languages: pon
* target languages: es
* OPUS readme: [pon-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-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/pon-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pon.es | 22.4 | 0.402 |
|
Helsinki-NLP/opus-mt-rn-es | 6ba4a319d2526e0b15e9ed2a3f0ec98fd6a1b950 | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"rn",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-rn-es | 4 | null | transformers | 17,873 | ---
language:
- rn
- es
tags:
- translation
license: apache-2.0
---
### run-spa
* source group: Rundi
* target group: Spanish
* OPUS readme: [run-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-spa/README.md)
* model: transformer-align
* source language(s): run
* target language(s): spa
* 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/run-spa/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.spa | 14.4 | 0.376 |
### System Info:
- hf_name: run-spa
- source_languages: run
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'es']
- src_constituents: {'run'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: spa
- short_pair: rn-es
- chrF2_score: 0.376
- bleu: 14.4
- brevity_penalty: 1.0
- ref_len: 5167.0
- src_name: Rundi
- tgt_name: Spanish
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: es
- prefer_old: False
- long_pair: run-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-rnd-sv | 699b423df25f6482bc323fb90a7878b0d4a0de42 | 2021-09-10T14:02:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"rnd",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-rnd-sv | 4 | null | transformers | 17,874 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-rnd-sv
* source languages: rnd
* target languages: sv
* OPUS readme: [rnd-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rnd-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/rnd-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.rnd.sv | 21.2 | 0.387 |
|
Helsinki-NLP/opus-mt-ru-af | 47edefddc28d121c27be84f92fd45f962444464a | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ru",
"af",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ru-af | 4 | null | transformers | 17,875 | ---
language:
- ru
- af
tags:
- translation
license: apache-2.0
---
### rus-afr
* source group: Russian
* target group: Afrikaans
* OPUS readme: [rus-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-afr/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): afr
* 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-afr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.afr | 48.1 | 0.669 |
### System Info:
- hf_name: rus-afr
- source_languages: rus
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'af']
- src_constituents: {'rus'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: afr
- short_pair: ru-af
- chrF2_score: 0.669
- bleu: 48.1
- brevity_penalty: 1.0
- ref_len: 1390.0
- src_name: Russian
- tgt_name: Afrikaans
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: af
- prefer_old: False
- long_pair: rus-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ru-bg | 09f96620a56ad0fa9cd61d9cde3a6025beea8013 | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ru",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ru-bg | 4 | null | transformers | 17,876 | ---
language:
- ru
- bg
tags:
- translation
license: apache-2.0
---
### rus-bul
* source group: Russian
* target group: Bulgarian
* OPUS readme: [rus-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-bul/README.md)
* model: transformer
* source language(s): rus
* target language(s): bul bul_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.bul | 52.3 | 0.704 |
### System Info:
- hf_name: rus-bul
- source_languages: rus
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'bg']
- src_constituents: {'rus'}
- 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/rus-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.test.txt
- src_alpha3: rus
- tgt_alpha3: bul
- short_pair: ru-bg
- chrF2_score: 0.7040000000000001
- bleu: 52.3
- brevity_penalty: 0.919
- ref_len: 8272.0
- src_name: Russian
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: ru
- tgt_alpha2: bg
- prefer_old: False
- long_pair: rus-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ru-hy | 2e1a3b8ad9f998c00b2e9d96ca1e5ec66da88d04 | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ru",
"hy",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ru-hy | 4 | null | transformers | 17,877 | ---
language:
- ru
- hy
tags:
- translation
license: apache-2.0
---
### rus-hye
* source group: Russian
* target group: Armenian
* OPUS readme: [rus-hye](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-hye/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): hye hye_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.hye | 21.7 | 0.494 |
### System Info:
- hf_name: rus-hye
- source_languages: rus
- target_languages: hye
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-hye/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'hy']
- src_constituents: {'rus'}
- tgt_constituents: {'hye', 'hye_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.test.txt
- src_alpha3: rus
- tgt_alpha3: hye
- short_pair: ru-hy
- chrF2_score: 0.494
- bleu: 21.7
- brevity_penalty: 1.0
- ref_len: 1602.0
- src_name: Russian
- tgt_name: Armenian
- train_date: 2020-06-16
- src_alpha2: ru
- tgt_alpha2: hy
- prefer_old: False
- long_pair: rus-hye
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-sg-es | de4c1aaee6a7cbb766858fe70540319e8293f54f | 2021-09-10T14:03:05.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sg",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sg-es | 4 | null | transformers | 17,878 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sg-es
* source languages: sg
* target languages: es
* OPUS readme: [sg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-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/sg-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sg.es | 21.3 | 0.385 |
|
Helsinki-NLP/opus-mt-srn-fr | d82025d38eb8a744cd79fe6deb9eb7faabe52431 | 2021-09-10T14:04:39.000Z | [
"pytorch",
"marian",
"text2text-generation",
"srn",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-srn-fr | 4 | null | transformers | 17,879 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-srn-fr
* source languages: srn
* target languages: fr
* OPUS readme: [srn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-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/srn-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.srn.fr | 28.9 | 0.462 |
|
Helsinki-NLP/opus-mt-srn-sv | 89c29fc18da63ea027e52d88aadf21bae58bf6df | 2021-09-10T14:04:43.000Z | [
"pytorch",
"marian",
"text2text-generation",
"srn",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-srn-sv | 4 | null | transformers | 17,880 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-srn-sv
* source languages: srn
* target languages: sv
* OPUS readme: [srn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-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/srn-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.srn.sv | 32.2 | 0.500 |
|
Helsinki-NLP/opus-mt-sv-NORWAY | 9cc31acf459b64239d05ab052ef3f5a06d23f0c9 | 2021-09-10T14:05:13.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"no",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-NORWAY | 4 | null | transformers | 17,881 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-NORWAY
* source languages: sv
* target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no
* OPUS readme: [sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.no | 39.3 | 0.590 |
|
Helsinki-NLP/opus-mt-sv-bem | 73b8358ae5e2437d5526c75e9916ac5f451f5a83 | 2021-09-10T14:05:31.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"bem",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-bem | 4 | null | transformers | 17,882 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-bem
* source languages: sv
* target languages: bem
* OPUS readme: [sv-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bem/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-bem/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bem/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bem/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.bem | 22.3 | 0.473 |
|
Helsinki-NLP/opus-mt-sv-ee | a761e616bc9460a293dc8840c41eb1c31c551c01 | 2021-09-10T14:06:00.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"ee",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-ee | 4 | null | transformers | 17,883 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ee
* source languages: sv
* target languages: ee
* OPUS readme: [sv-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ee/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-ee/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ee/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ee/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ee | 29.7 | 0.508 |
|
Helsinki-NLP/opus-mt-sv-et | 84519f30bf5daf543704c0d5f580cefa768b887b | 2021-09-10T14:06:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"et",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-et | 4 | null | transformers | 17,884 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-et
* source languages: sv
* target languages: et
* OPUS readme: [sv-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-et/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-et/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-et/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-et/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.et | 23.5 | 0.497 |
|
Helsinki-NLP/opus-mt-sv-id | b3416d70d04a0f239006a4abfb94e601b8b1d038 | 2021-09-10T14:07:14.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"id",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-id | 4 | null | transformers | 17,885 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-id
* source languages: sv
* target languages: id
* OPUS readme: [sv-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-id/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-id/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-id/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-id/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.id | 35.6 | 0.581 |
|
Helsinki-NLP/opus-mt-sv-kwy | 2d00f656a1bd6771a0b26e0777e4e8e9c60dd0e2 | 2021-09-10T14:07:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"kwy",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-kwy | 4 | null | transformers | 17,886 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-kwy
* source languages: sv
* target languages: kwy
* OPUS readme: [sv-kwy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-kwy/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-kwy/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kwy/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kwy/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.kwy | 21.4 | 0.437 |
|
Helsinki-NLP/opus-mt-sv-lus | 15fbb904a25a90d9fada1ce9ddc8fa4c7c89ede4 | 2021-09-10T14:08:03.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"lus",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-lus | 4 | null | transformers | 17,887 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-lus
* source languages: sv
* target languages: lus
* OPUS readme: [sv-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lus/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-lus/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lus/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lus/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.lus | 26.7 | 0.484 |
|
Helsinki-NLP/opus-mt-sv-pis | 6c5312ed4f382e0896802e81f94b164fa8171e04 | 2021-09-10T14:08:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"pis",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-pis | 4 | null | transformers | 17,888 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-pis
* source languages: sv
* target languages: pis
* OPUS readme: [sv-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-pis/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-pis/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pis/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pis/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.pis | 30.9 | 0.519 |
|
Helsinki-NLP/opus-mt-sv-sk | b8650080adb5fb098f7fba74b84f12d5c8039bf1 | 2021-09-10T14:09:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"sk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-sk | 4 | null | transformers | 17,889 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-sk
* source languages: sv
* target languages: sk
* OPUS readme: [sv-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-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/sv-sk/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sk/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sk/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sk | 30.7 | 0.516 |
|
Helsinki-NLP/opus-mt-sv-sq | b6990a16389e9ada1619ebbadf4b25d2401f80f3 | 2021-09-10T14:09:30.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"sq",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-sq | 4 | null | transformers | 17,890 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-sq
* source languages: sv
* target languages: sq
* OPUS readme: [sv-sq](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sq/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-sq/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sq/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sq/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sq | 34.4 | 0.553 |
|
Helsinki-NLP/opus-mt-sv-tpi | 5ec9154e81d7fc00c342484a99ce616bc5db25bd | 2021-09-10T14:10:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"tpi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-tpi | 4 | null | transformers | 17,891 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-tpi
* source languages: sv
* target languages: tpi
* OPUS readme: [sv-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tpi/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-tpi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tpi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tpi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tpi | 31.4 | 0.513 |
|
Helsinki-NLP/opus-mt-sv-xh | c13e0caa28b061d6820cd521e1203a44c7579a08 | 2021-09-11T10:47:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"xh",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-xh | 4 | null | transformers | 17,892 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-xh
* source languages: sv
* target languages: xh
* OPUS readme: [sv-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-xh/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-xh/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-xh/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-xh/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.xh | 26.7 | 0.561 |
|
Helsinki-NLP/opus-mt-sv-yap | 61012a3d6ddbf231618a544d5fbab09a731d96bd | 2021-09-11T10:47:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"yap",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-yap | 4 | null | transformers | 17,893 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-yap
* source languages: sv
* target languages: yap
* OPUS readme: [sv-yap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-yap/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-yap/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yap/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yap/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.yap | 27.3 | 0.461 |
|
Helsinki-NLP/opus-mt-to-es | dd77c730e6eb5c4c0a0234195308b15227685de5 | 2021-09-11T10:48:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"to",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-to-es | 4 | null | transformers | 17,894 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-to-es
* source languages: to
* target languages: es
* OPUS readme: [to-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-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/to-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.to.es | 26.6 | 0.447 |
|
Helsinki-NLP/opus-mt-tum-fr | e270f1520bea5487f9b91b2358492062951414a3 | 2021-09-11T10:50:15.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tum",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tum-fr | 4 | null | transformers | 17,895 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tum-fr
* source languages: tum
* target languages: fr
* OPUS readme: [tum-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-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/tum-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.fr | 24.0 | 0.403 |
|
Helsinki-NLP/opus-mt-tvl-fr | fc494523f7f885c206f367fab5668c678cce1a39 | 2021-09-11T10:50:32.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tvl",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tvl-fr | 4 | null | transformers | 17,896 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tvl-fr
* source languages: tvl
* target languages: fr
* OPUS readme: [tvl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-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/tvl-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.fr | 24.0 | 0.410 |
|
Helsinki-NLP/opus-mt-tvl-sv | cfd31ca1f1bd9eaaf1effb05912c42cbfd3b0349 | 2021-09-11T10:50:36.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tvl",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tvl-sv | 4 | null | transformers | 17,897 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tvl-sv
* source languages: tvl
* target languages: sv
* OPUS readme: [tvl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-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/tvl-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.sv | 24.7 | 0.427 |
|
Helsinki-NLP/opus-mt-ty-es | 86c070ed5150491d121fd143f0c25a55938c14e4 | 2021-09-11T10:50:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ty",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ty-es | 4 | null | transformers | 17,898 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ty-es
* source languages: ty
* target languages: es
* OPUS readme: [ty-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-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/ty-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.es | 27.3 | 0.457 |
|
Helsinki-NLP/opus-mt-ty-sv | 5ef30283de62c55bb90383ba97d6094816d9eb47 | 2021-09-11T10:51:06.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ty",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ty-sv | 4 | null | transformers | 17,899 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ty-sv
* source languages: ty
* target languages: sv
* OPUS readme: [ty-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-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/ty-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.sv | 28.9 | 0.472 |
|
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