Instructions to use WindstormLabs/translate-it-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-it-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-it-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-it-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 336282050e22466a89a65e6297fdbc43be05a92e27f713c2b619c585ab00bef1
- Size of remote file:
- 76.5 MB
- SHA256:
- 32dc2d4f22fba9d1eb675e7419841a1d2510bc4cd69371c5b0cd81cd7c6fe7c4
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