Gsarti
Rank:Average Model Cost: $0.0000
Number of Runs: 4,598
Models by this creator
opus-mt-tc-big-en-de
opus-mt-tc-big-en-de
Opus Tatoeba English-German This model was obtained by running the script convert_marian_to_pytorch.py. The original models were trained by J�rg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group. dataset: opusTCv20210807+bt model: transformer-big source language(s): eng target language(s): deu raw source language(s): eng raw target language(s): deu model: transformer-big pre-processing: normalization + SentencePiece (spm32k,spm32k) download: opusTCv20210807+bt-2021-12-08.zip test set translations: opusTCv20210807+bt-2021-12-08.test.txt test set scores: opusTCv20210807+bt-2021-12-08.eval.txt Benchmarks
$-/run
127
Huggingface
opus-mt-tc-base-en-ru
opus-mt-tc-base-en-ru
Opus Tatoeba English-Russian This model was obtained by running the script convert_marian_to_pytorch.py. The original models were trained by J�rg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group. dataset: opus+bt model: transformer-align source language(s): eng target language(s): rus model: transformer-align pre-processing: normalization + SentencePiece (spm32k,spm32k) download: opus+bt-2021-04-14.zip test set translations: opus+bt-2021-04-14.test.txt test set scores: opus+bt-2021-04-14.eval.txt Benchmarks
$-/run
40
Huggingface
opus-mt-tc-base-en-hi
opus-mt-tc-base-en-hi
Opus Tatoeba English-Hindi This model was obtained by running the script convert_marian_to_pytorch.py. The original models were trained by J�rg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group. dataset: opus+bt model: transformer-align source language(s): eng target language(s): hin model: transformer-align pre-processing: normalization + SentencePiece (spm32k,spm32k) download: opus+bt-2021-04-10.zip test set translations: opus+bt-2021-04-10.test.txt test set scores: opus+bt-2021-04-10.eval.txt Benchmarks
$-/run
37
Huggingface
opus-mt-tc-base-en-ja
opus-mt-tc-base-en-ja
Opus Tatoeba English-Japanese This model was obtained by running the script convert_marian_to_pytorch.py. The original models were trained by J�rg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group. dataset: opus+bt model: transformer-align source language(s): eng target language(s): jpn model: transformer-align pre-processing: normalization + SentencePiece (spm32k,spm32k) download: opus+bt-2021-04-10.zip test set translations: opus+bt-2021-04-10.test.txt test set scores: opus+bt-2021-04-10.eval.txt Benchmarks
$-/run
33
Huggingface