Instructions to use onkarsus13/ConFiDeNet-Large-VQ-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onkarsus13/ConFiDeNet-Large-VQ-32 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, ConFiDeNetForDepthEstimation processor = AutoImageProcessor.from_pretrained("onkarsus13/ConFiDeNet-Large-VQ-32") model = ConFiDeNetForDepthEstimation.from_pretrained("onkarsus13/ConFiDeNet-Large-VQ-32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature342aaed -
Update README.md
Verified signature391c93b -
New Push
6b488bb -
initial commit
Verified signature77d68aa