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lc700x
/
Distill-Any-Depth-Base-hf

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

Instructions to use lc700x/Distill-Any-Depth-Base-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lc700x/Distill-Any-Depth-Base-hf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("depth-estimation", model="lc700x/Distill-Any-Depth-Base-hf")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForDepthEstimation
    
    processor = AutoImageProcessor.from_pretrained("lc700x/Distill-Any-Depth-Base-hf")
    model = AutoModelForDepthEstimation.from_pretrained("lc700x/Distill-Any-Depth-Base-hf")
  • Notebooks
  • Google Colab
  • Kaggle
Distill-Any-Depth-Base-hf
390 MB
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  • 1 contributor
History: 5 commits
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lc700x
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e5d5b89 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    2.61 kB
    Create README.md 9 months ago
  • config.json
    1.79 kB
    Upload 3 files 9 months ago
  • model.safetensors
    390 MB
    xet
    Upload 3 files 9 months ago
  • preprocessor_config.json
    493 Bytes
    Upload 3 files 9 months ago