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softdev629
/
f1dykuac

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

Instructions to use softdev629/f1dykuac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use softdev629/f1dykuac with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="softdev629/f1dykuac")
    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("softdev629/f1dykuac")
    model = AutoModelForImageClassification.from_pretrained("softdev629/f1dykuac")
  • Notebooks
  • Google Colab
  • Kaggle
f1dykuac
18.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
softdev629's picture
softdev629
Update model_card.json
669b33e verified 11 months ago
  • runs
    Initial upload 11 months ago
  • .DS_Store
    8.2 kB
    Initial upload 11 months ago
  • .gitattributes
    1.55 kB
    Initial upload 11 months ago
  • README.md
    5.37 kB
    Initial upload 11 months ago
  • config.json
    746 Bytes
    Initial upload 11 months ago
  • model.safetensors
    128 Bytes
    xet
    Initial upload 11 months ago
  • model_card.json
    186 Bytes
    Update model_card.json 11 months ago
  • preprocessor_config.json
    457 Bytes
    Initial upload 11 months ago
  • training_args.bin
    128 Bytes
    xet
    Initial upload 11 months ago