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:
- 5080ad4ffb49eb939a0ffee937c5d5f8a90c32ca3c62c56eedfff4c007ba0f09
- Size of remote file:
- 453 kB
- SHA256:
- bd1cd8e59b286f9ee09172598fc9ea6974b4d2a2daa9c40c1624f6104199f23c
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