Instructions to use WindstormLabs/translate-bem-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bem-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-bem-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bem-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 621f916888bd8af2f4b96e1a028698a366fe3a7f919c6841ff542d008d7da2f8
- Size of remote file:
- 77.5 MB
- SHA256:
- cbaa353685700a94b07ae0665aec510f493ec16afff8ab14d1d6e4b3b5f2a063
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