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
File size: 282 Bytes
6b488bb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": 0.5,
"image_processor_type": "ConFiDeNetImageProcessorFast",
"image_std": 0.5,
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 1536,
"width": 1536
}
}
|