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xingyang1
/
Distill-Any-Depth-Small-hf

Depth Estimation
Transformers
Safetensors
depth_anything
distill-any-depth
vision
Model card Files Files and versions
xet
Community
1

Instructions to use xingyang1/Distill-Any-Depth-Small-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xingyang1/Distill-Any-Depth-Small-hf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("depth-estimation", model="xingyang1/Distill-Any-Depth-Small-hf")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForDepthEstimation
    
    processor = AutoImageProcessor.from_pretrained("xingyang1/Distill-Any-Depth-Small-hf")
    model = AutoModelForDepthEstimation.from_pretrained("xingyang1/Distill-Any-Depth-Small-hf")
  • Notebooks
  • Google Colab
  • Kaggle
Distill-Any-Depth-Small-hf
99.2 MB
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  • 2 contributors
History: 7 commits
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xingyang1
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keetrap
Update README.md (#1)
19549fd verified about 1 year ago
  • .gitattributes
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    initial commit about 1 year ago
  • README.md
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  • config.json
    1.04 kB
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  • model.safetensors
    99.2 MB
    xet
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  • preprocessor_config.json
    437 Bytes
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