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keetrap
/
Distill-Any-Depth-Large-hf

Depth Estimation
Transformers
Safetensors
depth_anything
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use keetrap/Distill-Any-Depth-Large-hf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("depth-estimation", model="keetrap/Distill-Any-Depth-Large-hf")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForDepthEstimation
    
    processor = AutoImageProcessor.from_pretrained("keetrap/Distill-Any-Depth-Large-hf")
    model = AutoModelForDepthEstimation.from_pretrained("keetrap/Distill-Any-Depth-Large-hf")
  • Notebooks
  • Google Colab
  • Kaggle
Distill-Any-Depth-Large-hf
1.34 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
keetrap's picture
keetrap
Update README.md
81e3163 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    161 Bytes
    Update README.md about 1 year ago
  • config.json
    1.52 kB
    Upload DepthAnythingForDepthEstimation about 1 year ago
  • model.safetensors
    1.34 GB
    xet
    Upload DepthAnythingForDepthEstimation about 1 year ago
  • preprocessor_config.json
    437 Bytes
    Upload processor about 1 year ago