Instructions to use WindyWord/translate-fr-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-hil 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-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3dd4b7631589419d5c45d6f8f0d55fe9ae83c73d8f7a1d9275a302ee066dd72
- Size of remote file:
- 76.8 MB
- SHA256:
- 74772e0fc3de1c5a1d6d1a54ea70289ffb7329b38f060267f39f8e5e9d60eaf1
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