Instructions to use WindyWord/translate-toi-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-toi-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="WindyWord/translate-toi-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-toi-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f05abf87e80714681e48d6f6c4b06240288cf8c3327c6af81043b8cdb72ecc6
- Size of remote file:
- 843 kB
- SHA256:
- 031e572539c25ea99f2db427f12baca8bac1c5694a8a6cba7b87b558c77abc42
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