Instructions to use Helsinki-NLP/opus-mt-fr-wls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fr-wls 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-fr-wls")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-wls") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-wls") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe3bfe8d6a6bc223000c14579c12d037989fd2eec686e0a7b7d6020de7382691
- Size of remote file:
- 263 MB
- SHA256:
- 253815d26b3ec9bba3d8c2698fbcb413c0a95d2e3cdff53619646183b00e80f8
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