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SodaXII
/
convnextv2-base-1k-224_rice-leaf-disease-augmented-v4_v5_pft

Image Classification
Transformers
TensorBoard
Safetensors
convnextv2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use SodaXII/convnextv2-base-1k-224_rice-leaf-disease-augmented-v4_v5_pft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SodaXII/convnextv2-base-1k-224_rice-leaf-disease-augmented-v4_v5_pft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="SodaXII/convnextv2-base-1k-224_rice-leaf-disease-augmented-v4_v5_pft")
    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("SodaXII/convnextv2-base-1k-224_rice-leaf-disease-augmented-v4_v5_pft")
    model = AutoModelForImageClassification.from_pretrained("SodaXII/convnextv2-base-1k-224_rice-leaf-disease-augmented-v4_v5_pft", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
convnextv2-base-1k-224_rice-leaf-disease-augmented-v4_v5_pft
351 MB
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  • 1 contributor
History: 2 commits
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SodaXII
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6242e4b verified over 1 year ago
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  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    351 MB
    xet
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  • preprocessor_config.json
    352 Bytes
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  • training_args.bin
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    xet
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  • training_metrics.xlsx
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