Instructions to use WindstormLabs/translate-es-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-st 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-es-st")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-st", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 672b1d6904f2ca3e1d259b1e2f2c343ae2a946e9e476259234831d02d2758c96
- Size of remote file:
- 823 kB
- SHA256:
- 6a555e5fe071667751423bd4f22c6b0e9009962eab15203f446a6b60b8f927e7
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