Instructions to use WindyWord/translate-es-pis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-pis 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-pis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-pis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb9d799756dfdaecf0309deec3f581cd3ad1d247deea0440c04dc6e5312ac535
- Size of remote file:
- 71.3 MB
- SHA256:
- 64defce303d42ea8ff18baeaad588576b4df94665c639f6c97d90bcd38e25864
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