Instructions to use WindyWord/translate-es-tzo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-tzo 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-es-tzo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-tzo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9fec0bbc1dda8c09ef3ad7a5c85853cb09a81a60c28bb3580024527b338a0aa
- Size of remote file:
- 74 MB
- SHA256:
- a288c66d2f3bdc85db1f5f189befc553da0b72d824df74383fbb5c018f53fede
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