Instructions to use WindstormLabs/translate-pag-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-pag-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="WindstormLabs/translate-pag-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-pag-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c11e67186b57e89e83ab825ba36b1f733f42a9c33bae569c5e3d94b94d6e5ec6
- Size of remote file:
- 825 kB
- SHA256:
- 58969aaaaedce9d3bd7579c07ea2001c566b67d3784a00e4cef95119f7daeac6
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