
# Fairseq Ru-En NMT WMT20 MLQE

This repository contains the Russian-English model trained with the [fairseq toolkit](https://github.com/pytorch/fairseq) that was used to produce translations used in the WMT21 shared task on quality estimation (QE) on the [MLQE dataset](https://github.com/facebookresearch/mlqe).

The checkpoint was converted from the original fairseq checkpoint available [here](https://github.com/facebookresearch/mlqe/tree/master/nmt_models) using the `convert_fsmt_original_pytorch_checkpoint_to_pytorch.py` script from the 🤗 Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.
{"language": ["en", "ru", "multilingual"], "license": "cc-by-sa-4.0", "tags": ["translation", "wmt20"], "widget": [{"text": "\u0421\u0430\u0445\u0430\u043b\u0438\u043d\u0441\u043a\u0430\u044f \u043a\u0430\u0439\u043d\u043e\u0437\u043e\u0439\u0441\u043a\u0430\u044f \u0441\u043a\u043b\u0430\u0434\u0447\u0430\u0442\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c \u0440\u0430\u0437\u0434\u0435\u043b\u044f\u0435\u0442\u0441\u044f \u043d\u0430 \u0412\u043e\u0441\u0442\u043e\u0447\u043d\u0443\u044e \u0438 \u0417\u0430\u043f\u0430\u0434\u043d\u0443\u044e \u0437\u043e\u043d\u044b, \u0440\u0430\u0437\u0434\u0435\u043b\u0451\u043d\u043d\u044b\u0435 \u0426\u0435\u043d\u0442\u0440\u0430\u043b\u044c\u043d\u043e-\u0421\u0430\u0445\u0430\u043b\u0438\u043d\u0441\u043a\u0438\u043c \u0433\u0440\u0430\u0431\u0435\u043d\u043e\u043c."}, {"text": "\u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043c\u043d\u0435\u043d\u0438\u0439 \u043e \u0435\u0433\u043e \u0442\u043e\u0447\u043d\u043e\u043c \u043c\u0435\u0441\u0442\u043e\u0440\u0430\u0441\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0438."}, {"text": "\u041a\u0440\u0443\u043f\u043d\u044b\u0439 \u043d\u0430\u0443\u0447\u043d\u043e-\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0446\u0435\u043d\u0442\u0440, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u043e\u0431\u0443\u0447\u0430\u0435\u0442\u0441\u044f \u0441\u0432\u044b\u0448\u0435 \u0441\u0442\u0430 \u0442\u044b\u0441\u044f\u0447 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432."}]}
transformers pytorch fsmt text2text-generation translation wmt20 en ru multilingual license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #fsmt #text2text-generation #translation #wmt20 #en #ru #multilingual #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


# Fairseq Ru-En NMT WMT20 MLQE

This repository contains the Russian-English model trained with the fairseq toolkit that was used to produce translations used in the WMT21 shared task on quality estimation (QE) on the MLQE dataset.

The checkpoint was converted from the original fairseq checkpoint available here using the 'convert_fsmt_original_pytorch_checkpoint_to_pytorch.py' script from the  Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.
# Fairseq Ru-En NMT WMT20 MLQE

This repository contains the Russian-English model trained with the fairseq toolkit that was used to produce translations used in the WMT21 shared task on quality estimation (QE) on the MLQE dataset.

The checkpoint was converted from the original fairseq checkpoint available here using the 'convert_fsmt_original_pytorch_checkpoint_to_pytorch.py' script from the  Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.
TAGS
#transformers #pytorch #fsmt #text2text-generation #translation #wmt20 #en #ru #multilingual #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # Fairseq Ru-En NMT WMT20 MLQE

This repository contains the Russian-English model trained with the fairseq toolkit that was used to produce translations used in the WMT21 shared task on quality estimation (QE) on the MLQE dataset.

The checkpoint was converted from the original fairseq checkpoint available here using the 'convert_fsmt_original_pytorch_checkpoint_to_pytorch.py' script from the  Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.
TAGS
#transformers #pytorch #fsmt #text2text-generation #translation #wmt20 #en #ru #multilingual #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
# Fairseq Ru-En NMT WMT20 MLQE

This repository contains the Russian-English model trained with the fairseq toolkit that was used to produce translations used in the WMT21 shared task on quality estimation (QE) on the MLQE dataset.

The checkpoint was converted from the original fairseq checkpoint available here using the 'convert_fsmt_original_pytorch_checkpoint_to_pytorch.py' script from the  Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.