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MSG1999
/
vit-lora-cifar100

Image Classification
PEFT
Safetensors
PyTorch
English
vit
vit-small
lora
cifar100
fine-tuning
parameter-efficient
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use MSG1999/vit-lora-cifar100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use MSG1999/vit-lora-cifar100 with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
vit-lora-cifar100
88.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
MSG1999's picture
MSG1999
.
445d72e verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    9.64 kB
    . about 2 months ago
  • adapter_config.json
    881 Bytes
    Add ViT-Small LoRA adapter (exp10_r8_a8, 90.46% val acc) about 2 months ago
  • adapter_model.safetensors
    895 kB
    xet
    Add ViT-Small LoRA adapter (exp10_r8_a8, 90.46% val acc) about 2 months ago
  • best_model.pt

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    87.9 MB
    xet
    Add best model full weights (exp10_r8_a8, 90.46% val acc) about 2 months ago
  • final_results.csv
    1.14 kB
    Add final_results.csv about 2 months ago
  • optuna_best_params.json
    97 Bytes
    Add optuna_best_params.json about 2 months ago
  • preprocessor_config.json
    351 Bytes
    Add ViT image processor about 2 months ago
  • q1_summary.json
    3.34 kB
    Add q1_summary.json about 2 months ago