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djbp
/
swin-base-patch4-window7-224-in22k-MM_NMM_Classification_base_V10

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

Instructions to use djbp/swin-base-patch4-window7-224-in22k-MM_NMM_Classification_base_V10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use djbp/swin-base-patch4-window7-224-in22k-MM_NMM_Classification_base_V10 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="djbp/swin-base-patch4-window7-224-in22k-MM_NMM_Classification_base_V10")
    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("djbp/swin-base-patch4-window7-224-in22k-MM_NMM_Classification_base_V10")
    model = AutoModelForImageClassification.from_pretrained("djbp/swin-base-patch4-window7-224-in22k-MM_NMM_Classification_base_V10")
  • Notebooks
  • Google Colab
  • Kaggle
swin-base-patch4-window7-224-in22k-MM_NMM_Classification_base_V10
348 MB
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  • 1 contributor
History: 11 commits
djbp's picture
djbp
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5af464e verified over 1 year ago
  • runs
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  • .gitattributes
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    initial commit over 1 year ago
  • 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
    348 MB
    xet
    Training in progress, epoch 6 over 1 year ago
  • preprocessor_config.json
    337 Bytes
    Training in progress, epoch 0 over 1 year ago
  • train_results.json
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  • trainer_state.json
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  • training_args.bin

    Detected Pickle imports (9)

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

    How to fix it?

    4.86 kB
    xet
    Training in progress, epoch 0 over 1 year ago