Instructions to use WindyWord/translate-war-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-war-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-war-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-war-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 568ce0a1c889c1da4b294d9672934288b27a10500e1a568496feab57e835b0f6
- Size of remote file:
- 77 MB
- SHA256:
- c8d872a45a7d4d9517efac841ff4c417c0e7a844b038c5828169aa039ca80cb1
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