Instructions to use WindyWord/translate-yo-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-yo-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-yo-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-yo-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7db1bca909896db025efe41327a5c50d0f7f7647183dc57c68ed2da5d715f12
- Size of remote file:
- 150 MB
- SHA256:
- ae146a8c656341bd136e520e8b7347f7afbe0e84a200fd8a62e5eb67cbeb4988
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