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paddeh
/
is-it-max

Image Classification
Transformers
Safetensors
vit
vision-transformer
just-for-fun
Model card Files Files and versions
xet
Community

Instructions to use paddeh/is-it-max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use paddeh/is-it-max with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="paddeh/is-it-max")
    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("paddeh/is-it-max")
    model = AutoModelForImageClassification.from_pretrained("paddeh/is-it-max")
  • Notebooks
  • Google Colab
  • Kaggle
is-it-max
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
paddeh's picture
paddeh
build: add .gitignore
22b262c about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • .gitignore
    34 Bytes
    build: add .gitignore about 1 year ago
  • README.md
    3.69 kB
    docs: add contents to README.md about 1 year ago
  • classes.json
    131 Bytes
    Initial commit of the is-it-max model, based on training on 2025-02-20 about 1 year ago
  • config.json
    615 Bytes
    Initial commit of the is-it-max model, based on training on 2025-02-20 about 1 year ago
  • model.safetensors
    343 MB
    xet
    model: retrained with more images of max in nature about 1 year ago
  • preprocessor_config.json
    351 Bytes
    Initial commit of the is-it-max model, based on training on 2025-02-20 about 1 year ago