Instructions to use Helsinki-NLP/opus-mt-bi-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-bi-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-bi-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bi-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bi-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b578ca5d4e51ba4ca2b6df533cbdd3c1fee664c86a67f49392c61e6abd9c4ef
- Size of remote file:
- 297 MB
- SHA256:
- 8a2542605d617f4c4e83eaba4de66363c7da1b49fd8aec75ea3d75ff2d4b7ee8
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