Instructions to use WindstormLabs/translate-to-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-to-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-to-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-to-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21f0b1d12080553c071f5ebe7b7ab7729ba8d42cbe3143a707fa7d9f605d3733
- Size of remote file:
- 76.4 MB
- SHA256:
- 7bbcda1be16849e533492975bc068d8670e74bae0e3fd1e231ac1fdd460bb9a3
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