Instructions to use WindstormLabs/translate-ca-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ca-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-ca-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ca-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea9212fb2d838cf12f8c6af254455e9572d27856b0a31addcbf07621129edd96
- Size of remote file:
- 807 kB
- SHA256:
- c061ef6a71834eaaab2499b34371e00544915262ad31fd176c0ae3ac6a0664f9
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