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jjmcarrascosa
/
vit_receipts_classifier

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use jjmcarrascosa/vit_receipts_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jjmcarrascosa/vit_receipts_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("jjmcarrascosa/vit_receipts_classifier")
    model = AutoModelForImageClassification.from_pretrained("jjmcarrascosa/vit_receipts_classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vit_receipts_classifier
4.81 GB
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  • 3 contributors
History: 5 commits
jjmcarrascosa's picture
jjmcarrascosa
Update README.md
c1f238c almost 4 years ago
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  • checkpoint-1000
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  • runs
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  • vit-base-beans-demo-v5
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  • .gitattributes
    1.34 kB
    initial commit about 4 years ago
  • README.md
    2.53 kB
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  • all_results.json
    387 Bytes
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  • config.json
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  • eval_results.json
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    343 MB
    xet
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  • train_results.json
    210 Bytes
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  • trainer_state.json
    22.9 kB
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  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.training_args.TrainingArguments",
    • "torch.device",
    • "transformers.trainer_utils.IntervalStrategy"

    How to fix it?

    3.38 kB
    xet
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