Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

scenario-labs
/
depth

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

Instructions to use scenario-labs/depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use scenario-labs/depth with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("depth-estimation", model="scenario-labs/depth")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForDepthEstimation
    
    processor = AutoImageProcessor.from_pretrained("scenario-labs/depth")
    model = AutoModelForDepthEstimation.from_pretrained("scenario-labs/depth")
  • Notebooks
  • Google Colab
  • Kaggle
depth
2.68 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Clement's picture
Clement
replace depth anything v1 with v2 safetensors
4ca2bc1 almost 2 years ago
  • v1
    replace depth anything v1 with v2 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    4.43 kB
    replace depth anything v1 with v2 safetensors almost 2 years ago
  • config.json
    1.43 kB
    replace depth anything v1 with v2 safetensors almost 2 years ago
  • model.safetensors
    1.34 GB
    xet
    replace depth anything v1 with v2 safetensors almost 2 years ago
  • preprocessor_config.json
    775 Bytes
    replace depth anything v1 with v2 safetensors almost 2 years ago