Instructions to use WindstormLabs/translate-es-to with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-to 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-to")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-to", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f32c375b4c2a97a0332301f44a5369feab3f591f46309bf4aed32a59d77be606
- Size of remote file:
- 76.4 MB
- SHA256:
- 104a1c0f7f1faec84e7a30b8e09092e34412337136f973062e1ce9959c792519
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