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howdyaendra
/
microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm

Image Classification
Transformers
ONNX
Safetensors
swinv2
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use howdyaendra/microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use howdyaendra/microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="howdyaendra/microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm")
    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("howdyaendra/microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm")
    model = AutoModelForImageClassification.from_pretrained("howdyaendra/microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm
448 MB
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  • 2 contributors
History: 10 commits
howdyaendra's picture
howdyaendra
Update config.json
4bdbe37 verified over 1 year ago
  • onnx
    Onnx almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.63 kB
    Update README.md almost 2 years ago
  • all_results.json
    228 Bytes
    End of training almost 2 years ago
  • config.json
    1.56 kB
    Update config.json over 1 year ago
  • model.safetensors
    196 MB
    xet
    Model save almost 2 years ago
  • preprocessor_config.json
    359 Bytes
    Training in progress, epoch 0 almost 2 years ago
  • quantize_config.json
    1.15 kB
    Onnx almost 2 years ago
  • train_results.json
    228 Bytes
    End of training almost 2 years ago
  • trainer_state.json
    6.12 kB
    End of training almost 2 years ago
  • training_args.bin
    5.24 kB
    xet
    Training in progress, epoch 0 almost 2 years ago