Instructions to use WindstormLabs/translate-en-pon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-pon 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="WindstormLabs/translate-en-pon")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-pon", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a01936777bebe8318983c506d1496c657384c3cf8d3ff60c8f0c33f61f528f19
- Size of remote file:
- 73.3 MB
- SHA256:
- d4a00d03282b2b75af015facbc5f0e9a3f6ee5b32ff552d54e7706bd15114518
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