Instructions to use WindstormLabs/translate-ur-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ur-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-ur-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ur-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83855ccc710f1048bacaae710487e67b528473513ae48f42e79db5daee8232ea
- Size of remote file:
- 78 MB
- SHA256:
- 92bed6b751ab59601000bd8d57c4293568036219714cea4e186a09354e50654d
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