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SodaXII
/
efficientformer_l1.snap_dist_in1k_rice-leaf-disease-augmented-v4_v5_fft

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

Instructions to use SodaXII/efficientformer_l1.snap_dist_in1k_rice-leaf-disease-augmented-v4_v5_fft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SodaXII/efficientformer_l1.snap_dist_in1k_rice-leaf-disease-augmented-v4_v5_fft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="SodaXII/efficientformer_l1.snap_dist_in1k_rice-leaf-disease-augmented-v4_v5_fft")
    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/efficientformer_l1.snap_dist_in1k_rice-leaf-disease-augmented-v4_v5_fft")
    model = AutoModelForImageClassification.from_pretrained("SodaXII/efficientformer_l1.snap_dist_in1k_rice-leaf-disease-augmented-v4_v5_fft")
  • Notebooks
  • Google Colab
  • Kaggle
efficientformer_l1.snap_dist_in1k_rice-leaf-disease-augmented-v4_v5_fft / logs
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  • 1 contributor
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SodaXII
Model save
a3e7eab verified about 1 year ago
  • events.out.tfevents.1744559542.68810232cbe2.941.0
    17.4 kB
    xet
    Model save about 1 year ago
  • events.out.tfevents.1744563358.68810232cbe2.941.1
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    xet
    Model save about 1 year ago