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:
- 36fd79ec343da8e71343907768e5f975293cfec5a9828ae8c8ae1cbb74765262
- Size of remote file:
- 750 kB
- SHA256:
- 00f9787da1763057d8167600f64f3a233f594ade33288f3c3321edcf3f1802ce
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