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:
- caa11b1c2556226bab41a64577b0ec088a416c14f0ff552652631333f1479907
- Size of remote file:
- 811 kB
- SHA256:
- c0b7f84fe3a55f0d991968c21e9964f13a5aaaa056dcf791846f5efe7b0cf184
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