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nathanReitinger
/
FASHION-vision

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

Instructions to use nathanReitinger/FASHION-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nathanReitinger/FASHION-vision with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="nathanReitinger/FASHION-vision")
    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("nathanReitinger/FASHION-vision")
    model = AutoModelForImageClassification.from_pretrained("nathanReitinger/FASHION-vision")
  • Notebooks
  • Google Colab
  • Kaggle
FASHION-vision
7.58 GB
Ctrl+K
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  • 1 contributor
History: 710 commits
nathanReitinger's picture
nathanReitinger
Update README.md
e35f323 verified about 2 years ago
  • runs
    Training in progress, epoch 60 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    473 Bytes
    Update README.md about 2 years ago
  • config.json
    1.06 kB
    Training in progress, epoch 1 about 2 years ago
  • model.safetensors
    2.52 GB
    xet
    Training in progress, epoch 60 about 2 years ago
  • optimizer.pt
    5.05 GB
    xet
    Upload 8 files about 2 years ago
  • preprocessor_config.json
    578 Bytes
    Training in progress, epoch 1 about 2 years ago
  • rng_state.pth
    14.2 kB
    xet
    Upload 8 files about 2 years ago
  • scheduler.pt
    1.06 kB
    xet
    Upload 8 files about 2 years ago
  • trainer_state.json
    396 kB
    Upload 8 files about 2 years ago
  • training_args.bin
    5.05 kB
    xet
    Training in progress, epoch 1 about 2 years ago