Instructions to use WindstormLabs/translate-bcl-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bcl-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-bcl-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bcl-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff0f81ec0d3089c7dcfe63155311447a1c5a3b3b76ef7fb9493c144e83ab80ff
- Size of remote file:
- 76.8 MB
- SHA256:
- f9d87f6537f68d3d59ed1c27fe717528e88b61865046998441d462b2109f7c28
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