Instructions to use WindyWord/translate-fr-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-bcl 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-fr-bcl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-bcl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b81a9f2f7c572e036fda9a4e1bc151b3ba578ba2db874cb288685a42a97074e
- Size of remote file:
- 830 kB
- SHA256:
- 582725bf824cd7fb8bfd0da70f75b0fe3694baf3df4a0806cc3adc5ca4f04a1f
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