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theairlabcmu
/
AnyThermal

Image Feature Extraction
Transformers
Safetensors
dinov2
thermal-imaging
computer-vision
knowledge-distillation
robotics
multi-modal
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use theairlabcmu/AnyThermal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="theairlabcmu/AnyThermal")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("theairlabcmu/AnyThermal")
    model = AutoModel.from_pretrained("theairlabcmu/AnyThermal")
  • Notebooks
  • Google Colab
  • Kaggle
AnyThermal
2.85 GB
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  • 1 contributor
History: 72 commits
airlabshare's picture
airlabshare
Delete vpr
f23445f verified 21 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    8.3 kB
    Basic snippet added to README 3 months ago
  • anythermal_checkpoints.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    2.5 GB
    xet
    Upload anythermal_checkpoints.zip 3 months ago
  • config.json
    879 Bytes
    Upload model 3 months ago
  • custom_processor.py
    1.71 kB
    Update custom_processor.py 3 months ago
  • model.py
    12.1 kB
    Upload model.py with huggingface_hub 3 months ago
  • model.safetensors
    346 MB
    xet
    Upload model 3 months ago
  • preprocessor_config.json
    556 Bytes
    Upload folder using huggingface_hub 3 months ago