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RenSurii
/
vit-base-patch16-224-in21k-finetuned-image-classification

Image Classification
Transformers
google-tensorflow TensorFlow
vit
tensorflow
vision
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use RenSurii/vit-base-patch16-224-in21k-finetuned-image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RenSurii/vit-base-patch16-224-in21k-finetuned-image-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="RenSurii/vit-base-patch16-224-in21k-finetuned-image-classification")
    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("RenSurii/vit-base-patch16-224-in21k-finetuned-image-classification")
    model = AutoModelForImageClassification.from_pretrained("RenSurii/vit-base-patch16-224-in21k-finetuned-image-classification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-224-in21k-finetuned-image-classification
343 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 22 commits
RenAaron Ellis
Training in progress epoch 5
93dc2b3 over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.5 kB
    Training in progress epoch 5 over 1 year ago
  • all_results.json
    19 Bytes
    Training in progress epoch 0 over 1 year ago
  • config.json
    908 Bytes
    Training in progress epoch 0 over 1 year ago
  • preprocessor_config.json
    325 Bytes
    Training in progress epoch 0 over 1 year ago
  • tf_model.h5
    343 MB
    xet
    Training in progress epoch 5 over 1 year ago