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:
- 7531b1a0aee1f2294b27d839ca739c0a2f86e35ec01caeb34b7c078d64f35b47
- Size of remote file:
- 847 kB
- SHA256:
- b0f22bad7bb20d624f4f2a6920b1a1b71e2018e6acc361fda12f6b6cc14d9f45
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