Depth Estimation
Transformers
Safetensors
PyTorch
English
depth_anything
computer-vision
absolute depth
Instructions to use Boxiang/depth_chm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Boxiang/depth_chm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="Boxiang/depth_chm")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("Boxiang/depth_chm") model = AutoModelForDepthEstimation.from_pretrained("Boxiang/depth_chm") - Notebooks
- Google Colab
- Kaggle
Upload preprocessor_config.json with huggingface_hub
Browse files- preprocessor_config.json +1 -0
preprocessor_config.json
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"do_normalize": true,
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"ensure_multiple_of": 14,
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"ensure_multiple_of": 14,
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