Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc-bible
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-aav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-aav with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-aav")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-aav") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-aav", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| multi-multi tatoeba-test-v2020-07-28-v2023-09-26 0.40649 22.9 9540 66166 | |
| deu-khm flores101-devtest 0.38800 2.3 1012 7006 | |
| deu-vie flores101-devtest 0.53381 33.8 1012 33331 | |
| eng-khm flores101-devtest 0.42302 1.3 1012 7006 | |
| eng-vie flores101-devtest 0.59621 42.1 1012 33331 | |
| fra-khm flores101-devtest 0.40042 2.2 1012 7006 | |
| por-khm flores101-devtest 0.40585 2.1 1012 7006 | |
| por-vie flores101-devtest 0.54919 36.0 1012 33331 | |
| spa-khm flores101-devtest 0.36844 1.3 1012 7006 | |
| spa-vie flores101-devtest 0.49921 27.8 1012 33331 | |
| deu-khm flores200-devtest 0.38953 2.4 1012 7006 | |
| deu-sat flores200-devtest 0.13449 0.1 1012 25693 | |
| deu-vie flores200-devtest 0.53671 34.0 1012 33331 | |
| eng-khm flores200-devtest 0.42148 1.3 1012 7006 | |
| eng-sat flores200-devtest 0.355 0.0 1012 25693 | |
| eng-vie flores200-devtest 0.59842 42.4 1012 33331 | |
| fra-khm flores200-devtest 0.39960 2.3 1012 7006 | |
| fra-sat flores200-devtest 0.13630 0.1 1012 25693 | |
| fra-vie flores200-devtest 0.54101 34.6 1012 33331 | |
| por-khm flores200-devtest 0.40832 1.9 1012 7006 | |
| por-sat flores200-devtest 0.13503 0.1 1012 25693 | |
| por-vie flores200-devtest 0.54970 36.1 1012 33331 | |
| spa-khm flores200-devtest 0.36868 1.4 1012 7006 | |
| spa-sat flores200-devtest 0.13742 0.1 1012 25693 | |
| spa-vie flores200-devtest 0.50025 28.1 1012 33331 | |
| eng-khm newstest2020 0.35104 0.9 2320 15454 | |
| deu-khm ntrex128 0.44903 3.5 1997 15866 | |
| deu-vie ntrex128 0.52124 31.4 1997 64655 | |
| eng-khm ntrex128 0.50494 1.6 1997 15866 | |
| eng-vie ntrex128 3.831 0.0 1997 64655 | |
| fra-khm ntrex128 0.43841 2.4 1997 15866 | |
| fra-vie ntrex128 0.52044 31.8 1997 64655 | |
| por-khm ntrex128 0.46655 2.5 1997 15866 | |
| por-vie ntrex128 0.53060 33.3 1997 64655 | |
| spa-khm ntrex128 0.46443 2.7 1997 15866 | |
| spa-vie ntrex128 0.53293 33.4 1997 64655 | |
| eng-khm tatoeba-test-v2020-07-28 0.34565 0.2 752 1737 | |
| spa-khm tatoeba-test-v2020-07-28 0.37159 0.2 1472 3391 | |
| spa-vie tatoeba-test-v2020-07-28 0.52030 34.2 582 4654 | |
| deu-vie tatoeba-test-v2021-03-30 0.45756 25.4 401 3775 | |
| eng-hoc tatoeba-test-v2021-03-30 6.373 0.2 661 2594 | |
| eng-khm tatoeba-test-v2021-03-30 0.34549 0.2 754 1741 | |
| spa-khm tatoeba-test-v2021-03-30 0.37159 0.2 1472 3391 | |
| spa-vie tatoeba-test-v2021-03-30 0.52010 34.3 604 4824 | |
| deu-vie tatoeba-test-v2021-08-07 0.45795 25.6 400 3768 | |
| eng-hoc tatoeba-test-v2021-08-07 6.438 0.2 660 2591 | |
| eng-kha tatoeba-test-v2021-08-07 5.741 0.0 1314 9269 | |
| eng-khm tatoeba-test-v2021-08-07 0.33850 0.2 726 1692 | |
| eng-vie tatoeba-test-v2021-08-07 0.56461 39.4 2500 24427 | |
| fra-vie tatoeba-test-v2021-08-07 0.52806 35.2 1299 13219 | |
| spa-khm tatoeba-test-v2021-08-07 0.37427 0.2 1448 3343 | |
| spa-vie tatoeba-test-v2021-08-07 0.52131 34.2 594 4740 | |
| eng-khm tico19-test 0.47806 2.5 2100 15810 | |
| fra-khm tico19-test 3.268 1.0 2100 15810 | |
| por-khm tico19-test 3.900 1.1 2100 15810 | |
| spa-khm tico19-test 3.784 1.0 2100 15810 | |