Instructions to use WindyWord/translate-to-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-to-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-to-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 987d8d5998d1f0ee3c755aac8bae47912bdc7d50b47f5e98798835e524536200
- Size of remote file:
- 783 kB
- SHA256:
- 1802f0e1153e87855dae49c20175ec927afe1e3931ead7e7442c472688255ea9
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