Instructions to use WindstormLabs/translate-ca-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ca-pt 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-pt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ca-pt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- babe98f44757c75a93aebdb93b9cd33339c568c74743dedf3a3f423c7d4e209b
- Size of remote file:
- 448 kB
- SHA256:
- 1519e2d949bd49ccf48004de0af5309b5e581d8df9a5dcb88214e72acfe305bf
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