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:
- 3973c0ebe70ec329f98cb1f791f2cb29cc55c12839e0ff906dd8a501dfcc2d0b
- Size of remote file:
- 57.3 MB
- SHA256:
- 22b793ea412bc81057e37f8bd514af02d70c1ee7f35479d153dcecb34351326b
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