Instructions to use WindstormLabs/translate-pa-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-pa-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="WindstormLabs/translate-pa-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-pa-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4bb9e49ceca7063d9ced35e58dc12c34758eaee25111c68b245788911b2abbe
- Size of remote file:
- 76.9 MB
- SHA256:
- 937ed7dcd8cdad3878f33039ec99999050914ef211bc75c735daa95179847c35
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