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mohsin416
/
autocatalogai-clip-multitask-v2

Image Classification
Transformers
PyTorch
clip
computer-vision
fashion
multi-task-learning
product-attribute-extraction
color-histogram
hierarchical-classification
ecommerce
Model card Files Files and versions
xet
Community

Instructions to use mohsin416/autocatalogai-clip-multitask-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mohsin416/autocatalogai-clip-multitask-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="mohsin416/autocatalogai-clip-multitask-v2")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mohsin416/autocatalogai-clip-multitask-v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
autocatalogai-clip-multitask-v2
613 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
mohsin416's picture
mohsin416
Update README.md
ea21b72 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    11.4 kB
    Update README.md about 2 months ago
  • config.json
    986 Bytes
    Upload folder using huggingface_hub about 2 months ago
  • consistency_rules.json
    45.6 kB
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  • history.json
    21.8 kB
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  • label_maps.json
    12.7 kB
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  • metrics.json
    3.92 kB
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  • model.pt

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    613 MB
    xet
    Upload folder using huggingface_hub about 2 months ago