Instructions to use WindyWord/translate-toi-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-toi-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-toi-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-toi-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1cab08241bb695e374d438ae16388999b55d38e18b3cd790701941b2916f302
- Size of remote file:
- 848 kB
- SHA256:
- 2ba6965be4d99560ef4ae6548d4cc0bb1c09d345d3f5b448be5b2ee324c6bba7
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