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Glainez
/
waste_encoder_II

Image Classification
Transformers
Safetensors
segformer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Glainez/waste_encoder_II with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Glainez/waste_encoder_II")
    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("Glainez/waste_encoder_II")
    model = AutoModelForImageClassification.from_pretrained("Glainez/waste_encoder_II")
  • Notebooks
  • Google Colab
  • Kaggle
waste_encoder_II
13.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Glainez's picture
Glainez
Rename preprocessor_config (4).json to preprocessor_config.json
da41b0a verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload SegformerForImageClassification over 1 year ago
  • config.json
    4 kB
    Upload SegformerForImageClassification over 1 year ago
  • model.safetensors
    13.4 MB
    xet
    Upload SegformerForImageClassification over 1 year ago
  • preprocessor_config.json
    372 Bytes
    Rename preprocessor_config (4).json to preprocessor_config.json over 1 year ago