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Intel
/
dpt-hybrid-midas

Depth Estimation
Transformers
PyTorch
dpt
vision
Eval Results (legacy)
Model card Files Files and versions
xet
Community
9

Instructions to use Intel/dpt-hybrid-midas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Intel/dpt-hybrid-midas with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("depth-estimation", model="Intel/dpt-hybrid-midas")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForDepthEstimation
    
    processor = AutoImageProcessor.from_pretrained("Intel/dpt-hybrid-midas")
    model = AutoModelForDepthEstimation.from_pretrained("Intel/dpt-hybrid-midas")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

📋 Documentation Enhancement Suggestion

#9 opened 3 months ago by
CroviaTrust

Adding `safetensors` variant of this model

#8 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#7 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#5 opened about 2 years ago by
SFconvertbot

what is the metric used for output

2
#4 opened about 3 years ago by
FaisalHejary
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