Instructions to use WindyWord/translate-pon-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pon-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pon-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b54dcdb544b4eda94bab85e0e4c269d1efbc7ace502ec57af779c9b6b78459e
- Size of remote file:
- 804 kB
- SHA256:
- 505f4b91b650f7826723700147a3d3f7ff13126bc7bc58ae9d7e0a53a26d9281
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