Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

RobertoSonic
/
swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21

Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21")
    model = AutoModelForImageClassification.from_pretrained("RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21")
  • Notebooks
  • Google Colab
  • Kaggle
swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21
110 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 89 commits
RobertoSonic's picture
RobertoSonic
End of training
ad16e17 verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    4.32 kB
    End of training over 1 year ago
  • all_results.json
    404 Bytes
    End of training over 1 year ago
  • config.json
    1.27 kB
    Training in progress, epoch 0 over 1 year ago
  • eval_results.json
    215 Bytes
    End of training over 1 year ago
  • model.safetensors
    110 MB
    xet
    Model save over 1 year ago
  • preprocessor_config.json
    363 Bytes
    Training in progress, epoch 0 over 1 year ago
  • train_results.json
    223 Bytes
    End of training over 1 year ago
  • trainer_state.json
    17.9 kB
    End of training over 1 year ago
  • training_args.bin
    5.43 kB
    xet
    Training in progress, epoch 0 over 1 year ago