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chris32
/
living-spaces-classification_scraper

Image Classification
Transformers
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use chris32/living-spaces-classification_scraper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chris32/living-spaces-classification_scraper with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="chris32/living-spaces-classification_scraper")
    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("chris32/living-spaces-classification_scraper")
    model = AutoModelForImageClassification.from_pretrained("chris32/living-spaces-classification_scraper")
  • Notebooks
  • Google Colab
  • Kaggle
living-spaces-classification_scraper
345 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
chris32's picture
chris32
commit files to HF hub
f4587f6 over 2 years ago
  • images
    commit files to HF hub over 2 years ago
  • .gitattributes
    2.09 kB
    commit files to HF hub over 2 years ago
  • README.md
    887 Bytes
    commit files to HF hub over 2 years ago
  • config.json
    1.04 kB
    commit files to HF hub over 2 years ago
  • model.safetensors
    343 MB
    xet
    commit files to HF hub over 2 years ago
  • preprocessor_config.json
    327 Bytes
    commit files to HF hub over 2 years ago