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agestau
/
fashion_classification_2

Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use agestau/fashion_classification_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use agestau/fashion_classification_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="agestau/fashion_classification_2")
    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("agestau/fashion_classification_2")
    model = AutoModelForImageClassification.from_pretrained("agestau/fashion_classification_2")
  • Notebooks
  • Google Colab
  • Kaggle
fashion_classification_2
110 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
agestau's picture
agestau
update model card README.md
7fcec48 about 3 years ago
  • runs
    Model save about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 0 about 3 years ago
  • README.md
    1.6 kB
    update model card README.md about 3 years ago
  • config.json
    1.59 kB
    Training in progress, epoch 0 about 3 years ago
  • preprocessor_config.json
    337 Bytes
    Training in progress, epoch 0 about 3 years ago
  • pytorch_model.bin
    110 MB
    xet
    Training in progress, epoch 2 about 3 years ago
  • training_args.bin
    3.64 kB
    xet
    Training in progress, epoch 0 about 3 years ago