Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

suprith777
/
plant_classifier

Image Classification
Transformers
google-tensorflow TensorFlow
vit
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use suprith777/plant_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use suprith777/plant_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="suprith777/plant_classifier")
    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("suprith777/plant_classifier")
    model = AutoModelForImageClassification.from_pretrained("suprith777/plant_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
plant_classifier
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
suprith777's picture
suprith777
End of training
2083713 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.65 kB
    End of training almost 2 years ago
  • config.json
    922 Bytes
    End of training almost 2 years ago
  • preprocessor_config.json
    325 Bytes
    End of training almost 2 years ago
  • tf_model.h5
    343 MB
    xet
    End of training almost 2 years ago