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Prot10
/
vit-base-patch16-224-for-pre_evaluation

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use Prot10/vit-base-patch16-224-for-pre_evaluation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Prot10/vit-base-patch16-224-for-pre_evaluation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Prot10/vit-base-patch16-224-for-pre_evaluation")
    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("Prot10/vit-base-patch16-224-for-pre_evaluation")
    model = AutoModelForImageClassification.from_pretrained("Prot10/vit-base-patch16-224-for-pre_evaluation")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-224-for-pre_evaluation
343 MB
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  • 1 contributor
History: 69 commits
Prot10's picture
Prot10
End of training
8ba28c8 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    3.33 kB
    End of training almost 3 years ago
  • all_results.json
    390 Bytes
    End of training almost 3 years ago
  • config.json
    857 Bytes
    Training in progress, epoch 0 almost 3 years ago
  • eval_results.json
    203 Bytes
    End of training almost 3 years ago
  • preprocessor_config.json
    325 Bytes
    Training in progress, epoch 0 almost 3 years ago
  • pytorch_model.bin
    343 MB
    xet
    Model save almost 3 years ago
  • train_results.json
    209 Bytes
    End of training almost 3 years ago
  • trainer_state.json
    13.8 kB
    End of training almost 3 years ago
  • training_args.bin
    4.09 kB
    xet
    Training in progress, epoch 0 almost 3 years ago