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n1hal
/
Weeds_Classification

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

Instructions to use n1hal/Weeds_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use n1hal/Weeds_Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="n1hal/Weeds_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("n1hal/Weeds_Classification")
    model = AutoModelForImageClassification.from_pretrained("n1hal/Weeds_Classification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Weeds_Classification / runs /Jul30_21-36-12_fedora
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
n1hal's picture
n1hal
Training in progress, epoch 2
1d2ca28 verified about 2 years ago
  • events.out.tfevents.1722355574.fedora.64254.0
    105 kB
    xet
    Training in progress, epoch 2 about 2 years ago