Instructions to use WindyWord/translate-to-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-to-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-to-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-to-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 417fe4721ab99e701d4b66399c42a327f384c43b43f857ab9fa6d03879de75cb
- Size of remote file:
- 76.4 MB
- SHA256:
- 72da12e8a29a3c1f0dcf1bab2fde74bf641e9c59bbe90e1f26dc0dd32f227a75
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