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WEO-SAS
/
chm-meta-v2

Depth Estimation
Transformers
Safetensors
English
chmv2
dinov3
canopy-height
chm
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use WEO-SAS/chm-meta-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WEO-SAS/chm-meta-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("depth-estimation", model="WEO-SAS/chm-meta-v2")
    # Load model directly
    from transformers import AutoModelForDepthEstimation
    model = AutoModelForDepthEstimation.from_pretrained("WEO-SAS/chm-meta-v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
chm-meta-v2 / eval_images
17.1 MB
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  • 1 contributor
History: 10 commits
RhodWeo's picture
RhodWeo
eval: update benchmark results
3e46104 verified 3 months ago
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