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headless-start
/
parameter-efficient-dfer

Image Classification
timm
PyTorch
facial-expression-recognition
driver-monitoring
vision-transformer
parameter-efficient-fine-tuning
lora
adaptformer
ssf
Model card Files Files and versions
xet
Community

Instructions to use headless-start/parameter-efficient-dfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use headless-start/parameter-efficient-dfer with timm:

    import timm
    
    model = timm.create_model("hf_hub:headless-start/parameter-efficient-dfer", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
parameter-efficient-dfer
3.84 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
headless-start's picture
headless-start
clarify where the loader goes
92a70a2 verified 4 days ago
  • stage1
    add thesis checkpoints, results and model card 4 days ago
  • stage2
    add thesis checkpoints, results and model card 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    6.26 kB
    add thesis checkpoints, results and model card 4 days ago
  • load_weights.py
    2.28 kB
    clarify where the loader goes 4 days ago