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aalonso-developer
/
vit-base-patch16-224-in21k-clothing-classifier

Image Classification
Transformers
google-tensorflow TensorFlow
TensorBoard
vit
generated_from_keras_callback
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier")
    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("aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier")
    model = AutoModelForImageClassification.from_pretrained("aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-224-in21k-clothing-classifier
Ctrl+K
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  • 1 contributor
History: 8 commits
aalonso-developer's picture
aalonso-developer
Upload preprocessor_config.json with huggingface_hub
c9827e1 about 3 years ago
  • logs
    Training in progress epoch 4 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    2.64 kB
    Training in progress epoch 4 about 3 years ago
  • config.json
    1.11 kB
    Training in progress epoch 0 about 3 years ago
  • preprocessor_config.json
    327 Bytes
    Upload preprocessor_config.json with huggingface_hub about 3 years ago
  • tf_model.h5
    344 MB
    xet
    Training in progress epoch 4 about 3 years ago