Instructions to use WindyWord/translate-en-pag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-pag 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-en-pag")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-pag", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb354171049c54b9cd1ba59dab4aa0f10936616d402993bd2cbe7422bb2477ba
- Size of remote file:
- 825 kB
- SHA256:
- 6401f614a69cd20cd8ba591ddf18e10963047d3537579d14f376dfa71a680c05
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