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ishanmakkar
/
visual-grounding-adapter

PEFT
Safetensors
visual-grounding
qwen2-vl
multimodal
Model card Files Files and versions
xet
Community

Instructions to use ishanmakkar/visual-grounding-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use ishanmakkar/visual-grounding-adapter with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-7B-Instruct")
    model = PeftModel.from_pretrained(base_model, "ishanmakkar/visual-grounding-adapter")
  • Notebooks
  • Google Colab
  • Kaggle
visual-grounding-adapter
177 MB
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  • 1 contributor
History: 6 commits
ishanmakkar's picture
ishanmakkar
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  • .gitattributes
    1.57 kB
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  • README.md
    792 Bytes
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  • adapter_config.json
    1.06 kB
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  • adapter_model.safetensors
    162 MB
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  • added_tokens.json
    392 Bytes
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  • chat_template.jinja
    1.02 kB
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  • merges.txt
    1.67 MB
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  • preprocessor_config.json
    827 Bytes
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    3.33 kB
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  • video_preprocessor_config.json
    911 Bytes
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  • vocab.json
    2.78 MB
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