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:
- 293715e0253354a99018fe97684142d8a505eb49caea256507f93813a8d32552
- Size of remote file:
- 825 kB
- SHA256:
- efae3f7b7f08e6b64c9fc4f89b7087cc0cfa8d14e15e4bf0cd094b73717ef040
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