Instructions to use WindstormLabs/translate-es-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ca 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-es-ca")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f76403952c042b87d8202dc95a9d09b44dea3fb05625861cfb5f0efb361a5f69
- Size of remote file:
- 72.8 MB
- SHA256:
- 6ac1c16b8895565512455b7e68a3034cfe2108d4e240b157a34dfa7aa392e6cf
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