Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-zle-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tc-big-zle-fr 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-big-zle-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-zle-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-zle-fr") - Notebooks
- Google Colab
- Kaggle
| rus-fra newstest2012 0.53679 25.3 3003 78011 | |
| rus-fra newstest2013 0.56211 29.7 3000 70037 | |
| bel-fra tatoeba-test-v2020-07-28-v2021-08-07 0.65415 46.4 283 2005 | |
| multi-fra tatoeba-test-v2020-07-28-v2021-08-07 0.68422 52.4 10000 66671 | |
| orv-fra tatoeba-test-v2020-07-28-v2021-08-07 0.22337 6.3 37 290 | |
| rus-fra tatoeba-test-v2020-07-28-v2021-08-07 0.68699 51.8 11490 80573 | |
| ukr-fra tatoeba-test-v2020-07-28-v2021-08-07 0.67887 50.7 10035 63222 | |