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McClain
/
fashion-embedder

Zero-Shot Image Classification
Transformers
PyTorch
Safetensors
English
clip
vision
language
fashion
ecommerce
Model card Files Files and versions
xet
Community

Instructions to use McClain/fashion-embedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use McClain/fashion-embedder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="McClain/fashion-embedder")
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("McClain/fashion-embedder")
    model = AutoModelForZeroShotImageClassification.from_pretrained("McClain/fashion-embedder", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
fashion-embedder / __pycache__
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  • 1 contributor
History: 2 commits
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McClain
Upload folder using huggingface_hub
f24c655 verified about 2 years ago
  • handler.cpython-311.pyc
    3.6 kB
    Upload folder using huggingface_hub about 2 years ago
  • handler.cpython-39.pyc
    2.5 kB
    Upload folder using huggingface_hub about 2 years ago