Instructions to use WindyWord/translate-es-yo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-yo 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-es-yo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-yo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d819bea75f1a12217ff6ab76c0da95a48952a63dcd105fb476104892dc18247b
- Size of remote file:
- 299 MB
- SHA256:
- 9609fcddee33904fc7e3f425423a36197b357c5b3a35ac2662d2a356cdeb019a
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