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:
- fdfb429f66157b30af5f96f4d4dc3433776dc6caa21c7404dff033601d8059a6
- Size of remote file:
- 56.5 MB
- SHA256:
- 75ba44a9be86da0ced744cd4859c4773fe1ce7d9b0045bc745e2d8432986cdda
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