Instructions to use WindstormLabs/translate-it-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-it-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-it-ca")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-it-ca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75eb5bfac0534ee8171cb18a4a03b880b8c0646de9980c12e7612fd8e7526e72
- Size of remote file:
- 57 MB
- SHA256:
- b1e6d03a5b01c69eb462a527bd5c462381ddd567e0526375f14686ea56bc0ca7
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