Instructions to use WindstormLabs/translate-en-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-ca")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e932ba9619ad5b9ecd44a80df042eca166e2962f1be0b50da98b81cff3735067
- Size of remote file:
- 815 kB
- SHA256:
- 409f03510e6350f2988dc008104cd7a441111c4987e965c9263f708621bf6e48
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