Instructions to use netradrishti/u2net-saliency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use netradrishti/u2net-saliency with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="netradrishti/u2net-saliency", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("netradrishti/u2net-saliency", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfa35a81dd97a66ea1ac273198c897406521076d0e74d349517069c9a9007281
- Size of remote file:
- 176 MB
- SHA256:
- 8f924251a5c68381eb01ea7f1c689a3086bd9031a8c8b535a555c6f033f8552c
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