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hossay
/
stool-condition-classification

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use hossay/stool-condition-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hossay/stool-condition-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="hossay/stool-condition-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("hossay/stool-condition-classification")
    model = AutoModelForImageClassification.from_pretrained("hossay/stool-condition-classification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
stool-condition-classification
343 MB
Ctrl+K
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  • 1 contributor
History: 16 commits
hossay's picture
hossay
🍻 cheers
b4ccebc over 2 years ago
  • runs
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  • .gitattributes
    1.52 kB
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  • README.md
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  • all_results.json
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  • config.json
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  • eval_results.json
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  • model.safetensors
    343 MB
    xet
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  • preprocessor_config.json
    325 Bytes
    Upload processor over 2 years ago
  • train_results.json
    165 Bytes
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  • trainer_state.json
    4 kB
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  • training_args.bin

    Detected Pickle imports (8)

    • "transformers.trainer_utils.IntervalStrategy",
    • "torch.device",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.SchedulerType",
    • "accelerate.state.PartialState",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.HubStrategy",
    • "accelerate.utils.dataclasses.DistributedType"

    How to fix it?

    4.28 kB
    xet
    🍻 cheers over 2 years ago