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:
- 7c2830e9467714ab759bbd0d657a5d28ec08e349c781544005361546a58c92c5
- Size of remote file:
- 78 MB
- SHA256:
- a4cb7d8513aff9a4c3c71c0d2cd21ea6b1c17ae21bfbb5b64088fba5ff5fa4d1
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