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RioJune
/
AG-KD

Zero-Shot Object Detection
Transformers
Safetensors
florence2
image-text-to-text
custom_code
Model card Files Files and versions
xet
Community
4

Instructions to use RioJune/AG-KD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RioJune/AG-KD with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-object-detection", model="RioJune/AG-KD", trust_remote_code=True)
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("RioJune/AG-KD", trust_remote_code=True)
    model = AutoModelForImageTextToText.from_pretrained("RioJune/AG-KD", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
AG-KD
1.09 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
shantam00's picture
shantam00
Fixed README.md
91eca8d verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    3.85 kB
    Fixed README.md 9 months ago
  • added_tokens.json
    22.4 kB
    Upload merged model and processor 11 months ago
  • config.json
    5.64 kB
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  • configuration.py
    15.1 kB
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  • generation_config.json
    292 Bytes
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  • merges.txt
    456 kB
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  • model.py
    127 kB
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  • model.safetensors
    1.08 GB
    xet
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  • preprocessor_config.json
    795 Bytes
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  • processor.py
    46.4 kB
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  • special_tokens_map.json
    147 kB
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  • tokenizer.json
    1.36 MB
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  • tokenizer_config.json
    34 Bytes
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  • vocab.json
    1.1 MB
    Upload merged model and processor 11 months ago