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:
- 747f9f53869fa29924a9721889bdd88a5e58e11f1918954cbbd01ab59f561166
- Size of remote file:
- 830 kB
- SHA256:
- fed0f14ad5d4330629583a0cf1ef148622ed8e479bfb22aa2fb658f206d9d49f
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