Instructions to use WindstormLabs/translate-de-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-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-de-ca")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 241997c29b1d0732dc9745b4d7d5c20b416fa9faa58e409cad57a196a07247b8
- Size of remote file:
- 448 kB
- SHA256:
- 2eb40e8b61b686f8a7c9c9ed911811eff23c018da8e7ff927fa7e829886b38ef
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