Instructions to use Helsinki-NLP/opus-mt-en-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-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-en-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-fr") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 698724fed9b70efb03a367c20e4b30efe16a04fe5391e8189433af381f77278a
- Size of remote file:
- 301 MB
- SHA256:
- cc1de10b49342ad2f33e06bc4474ddd6eaca278474903c4a8636ce15680d64de
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