Instructions to use WindstormLabs/translate-es-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-it 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-it")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-it", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 224633cb234b0a0c1b9f1b4352320402e2e543cf323dfa28e8401df53622a9fc
- Size of remote file:
- 76.5 MB
- SHA256:
- 6e050eff72979c5c36a93865999d00f616b645a1647bc232d6ffde04dda29b0d
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