Instructions to use WindstormLabs/translate-ts-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ts-es 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-ts-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ts-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6176099e3d812ee8106cbdcf0a225648309c9c6e203f9d3c5645c6dd379ab71
- Size of remote file:
- 77.2 MB
- SHA256:
- 53cc0e27753021525486e2b7ed1ff008a1cb03d1632d592b72e9d57493fbeae5
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