Instructions to use WindyWord/translate-fr-pon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-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="WindyWord/translate-fr-pon")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-pon", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90ce9b75e196ab2fb7e803b8e9af2d96264548d3f73ac3db1cb60c0bc38907a0
- Size of remote file:
- 75.1 MB
- SHA256:
- 663d17a47795b9347e5fdd11ba4542097d7e14a1c717ec7e3e39b66d9dc76597
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