Instructions to use WindyWord/translate-pag-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pag-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-pag-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pag-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a3fa971f5abebadfb09af05ab84dd530af13754c67b86696e9f18e1670d6e58
- Size of remote file:
- 817 kB
- SHA256:
- abc9fc5ea412907926e7ef4694c322b7c3fddfdea4f1dddaf2501c890d97df6a
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