Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Ateeqq
/
ai-vs-human-image-detector

Image Classification
Transformers
Safetensors
siglip
art
Model card Files Files and versions
xet
Community
1

Instructions to use Ateeqq/ai-vs-human-image-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ateeqq/ai-vs-human-image-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Ateeqq/ai-vs-human-image-detector")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageClassification
    
    processor = AutoProcessor.from_pretrained("Ateeqq/ai-vs-human-image-detector")
    model = AutoModelForImageClassification.from_pretrained("Ateeqq/ai-vs-human-image-detector")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
ai-vs-human-image-detector
372 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
Ateeqq's picture
Ateeqq
Update README.md
60e8240 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.95 kB
    Update README.md 4 months ago
  • config.json
    1.15 kB
    Upload 4 files about 1 year ago
  • model.safetensors
    372 MB
    xet
    Upload model.safetensors about 1 year ago
  • preprocessor_config.json
    418 Bytes
    Upload 4 files about 1 year ago
  • results.jpg
    23.4 kB
    Upload results.jpg about 1 year ago
  • trainer_state.json
    25.3 kB
    Upload 4 files about 1 year ago