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ThrFergus
/
fish

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use ThrFergus/fish with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ThrFergus/fish")
    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("ThrFergus/fish")
    model = AutoModelForImageClassification.from_pretrained("ThrFergus/fish")
  • Notebooks
  • Google Colab
  • Kaggle
fish
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Miatro's picture
Miatro
Update
4ff77d7 verified almost 2 years ago
  • images
    commit files to HF hub about 3 years ago
  • runs
    commit files to HF hub about 3 years ago
  • .gitattributes
    1.78 kB
    commit files to HF hub about 3 years ago
  • README.md
    976 Bytes
    Update almost 2 years ago
  • config.json
    915 Bytes
    commit files to HF hub about 3 years ago
  • preprocessor_config.json
    327 Bytes
    commit files to HF hub about 3 years ago
  • pytorch_model.bin
    343 MB
    xet
    commit files to HF hub about 3 years ago