Instructions to use WindstormLabs/translate-en-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ur 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-ur")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ur", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39ea0516de909d654eab45c6aff5f7c282b49db8487ec06916e8bedc2b515144
- Size of remote file:
- 816 kB
- SHA256:
- aa256554c4fcf35148069dc8d5fc3589c7d4b85869de7089c40a78f7172a5177
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