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tensorgirl
/
TFaugvit

Image Classification
Transformers
google-tensorflow TensorFlow
augvit
vision
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use tensorgirl/TFaugvit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="tensorgirl/TFaugvit", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import TFAutoModelForImageClassification
    model = TFAutoModelForImageClassification.from_pretrained("tensorgirl/TFaugvit", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
TFaugvit
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  • 1 contributor
History: 62 commits
tensorgirl's picture
tensorgirl
Update config.json
f173312 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.96 kB
    Update README.md over 2 years ago
  • augvit_config.py
    838 Bytes
    Update augvit_config.py over 2 years ago
  • augvit_model.py
    7.94 kB
    Update augvit_model.py over 2 years ago
  • config.json
    555 Bytes
    Update config.json over 2 years ago
  • tf_model.h5
    7.2 MB
    xet
    Upload AugViTForImageClassification over 2 years ago