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-bat 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-bat 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-bat")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bat") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bat") - Notebooks
- Google Colab
- Kaggle
| multi-multi tatoeba-test-v2020-07-28-v2023-09-26 0.68018 43.3 6367 38034 | |
| deu-lav flores101-devtest 0.54724 24.4 1012 22092 | |
| eng-lav flores101-devtest 0.59955 31.0 1012 22092 | |
| eng-lit flores101-devtest 0.58961 27.2 1012 20695 | |
| fra-lav flores101-devtest 0.54276 24.2 1012 22092 | |
| fra-lit flores101-devtest 0.54665 22.4 1012 20695 | |
| spa-lav flores101-devtest 0.50131 17.8 1012 22092 | |
| deu-lit flores200-devtest 0.54957 22.6 1012 20695 | |
| eng-lit flores200-devtest 0.59338 27.7 1012 20695 | |
| fra-lit flores200-devtest 0.54683 22.3 1012 20695 | |
| por-lit flores200-devtest 0.55033 22.6 1012 20695 | |
| spa-lit flores200-devtest 0.50725 16.9 1012 20695 | |
| eng-lav newstest2017 0.53192 21.5 2001 39392 | |
| eng-lit newstest2019 0.51714 18.3 998 19711 | |
| deu-lav ntrex128 0.47980 16.8 1997 44709 | |
| deu-lit ntrex128 0.50645 17.6 1997 41189 | |
| eng-lav ntrex128 0.51026 20.6 1997 44709 | |
| eng-lit ntrex128 0.54187 21.5 1997 41189 | |
| fra-lav ntrex128 0.45346 15.5 1997 44709 | |
| fra-lit ntrex128 0.48870 16.2 1997 41189 | |
| por-lav ntrex128 0.47809 17.3 1997 44709 | |
| por-lit ntrex128 0.50653 17.5 1997 41189 | |
| spa-lav ntrex128 0.47690 17.1 1997 44709 | |
| spa-lit ntrex128 0.50412 17.1 1997 41189 | |
| eng-lit tatoeba-test-v2020-07-28 0.67468 39.5 2500 14798 | |
| spa-lit tatoeba-test-v2020-07-28 0.68015 42.8 452 2341 | |
| eng-lit tatoeba-test-v2021-03-30 0.67451 39.5 5003 29598 | |
| spa-lit tatoeba-test-v2021-03-30 0.68064 42.8 457 2364 | |
| deu-lit tatoeba-test-v2021-08-07 0.65379 39.8 1115 7091 | |
| eng-lav tatoeba-test-v2021-08-07 0.68823 46.4 1631 9932 | |
| eng-lit tatoeba-test-v2021-08-07 0.67792 39.8 2528 14942 | |
| spa-lit tatoeba-test-v2021-08-07 0.68133 43.3 454 2352 | |