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:
- 373f501ff90d58b6629860f6e4e048761ef3a528720ee396f7b64da78e42af14
- Size of remote file:
- 263 MB
- SHA256:
- 5b65cc528b92a7b279eccf975473334e48f15c20f7a1b66654a2921f6bdd05c3
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