Instructions to use WindyWord/translate-war-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-war-es 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-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-war-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bad809f46b04e4461c5e66e81e3c647b682ba0f27b0089a9a11d6465fbca308
- Size of remote file:
- 76.9 MB
- SHA256:
- ad59251ebec718dc0fec74220d02e28aaf5a081e9874556b2e5333c3e4a51800
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