Instructions to use WindstormLabs/translate-en-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-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="WindstormLabs/translate-en-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 331f842283447bd56db1ee9d4ab27baa786f9a3322028ae2f7caff4d8d9331d4
- Size of remote file:
- 76.7 MB
- SHA256:
- 7ba8fc1715a828bc2305f58220fd366cf2a3b4d341f264e614d5260c971f535d
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