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stevenbucaille
/
disk

Feature Extraction
Transformers
Safetensors
disk
custom_code
Model card Files Files and versions
xet
Community

Instructions to use stevenbucaille/disk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use stevenbucaille/disk with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="stevenbucaille/disk", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForKeypointDetection
    model = AutoModelForKeypointDetection.from_pretrained("stevenbucaille/disk", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
disk
4.38 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
stevenbucaille's picture
stevenbucaille
Upload processor
48728d3 verified 11 months ago
  • .gitattributes
    54 Bytes
    Upload DiskForKeypointDetection 11 months ago
  • .gitignore
    219 Bytes
    Remove disk_model folder from git tracking and add to .gitignore 11 months ago
  • README.md
    5.17 kB
    Upload DiskForKeypointDetection 11 months ago
  • config.json
    473 Bytes
    Upload DiskForKeypointDetection 11 months ago
  • configuration_disk.py
    894 Bytes
    Upload DiskForKeypointDetection 11 months ago
  • model.safetensors
    4.37 MB
    xet
    Upload DiskForKeypointDetection 11 months ago
  • modeling_disk.py
    2.31 kB
    Upload DiskForKeypointDetection 11 months ago
  • preprocessor_config.json
    235 Bytes
    Upload processor 11 months ago