Instructions to use WindyWord/translate-ts-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-ts-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ts-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67f9ac39b36251b9e4633751e87d634555c8cd0216bc15229c368ecef35752a2
- Size of remote file:
- 849 kB
- SHA256:
- b9772468178ef737b059bb60be92666bf9213de2c5d3ed073c5671838ede714e
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