Instructions to use WindyWord/translate-pon-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pon-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-pon-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pon-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfd98ad62b82993e5e1e85562220e3e48e5dc3965070d2e862ee1e66051cc58e
- Size of remote file:
- 75.3 MB
- SHA256:
- 7f42ad343cbc299596e709206e8509f5bff617a1b3c5449ede4c208c0ec4c975
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