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NANI-Nithin
/
SmolVLM-Hallucination-Defense

Image-Text-to-Text
PEFT
Safetensors
English
vision
lora
qlora
hallucination-mitigation
safety
sycophancy
vision-language-model
conversational
Model card Files Files and versions
xet
Community

Instructions to use NANI-Nithin/SmolVLM-Hallucination-Defense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use NANI-Nithin/SmolVLM-Hallucination-Defense with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolVLM2-2.2B-Instruct")
    model = PeftModel.from_pretrained(base_model, "NANI-Nithin/SmolVLM-Hallucination-Defense")
  • Notebooks
  • Google Colab
  • Kaggle
SmolVLM-Hallucination-Defense
174 MB
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  • 1 contributor
History: 5 commits
NANI-Nithin's picture
NANI-Nithin
Update README.md
0c2d9ae verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    10.8 kB
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  • adapter_config.json
    1.11 kB
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  • adapter_model.safetensors
    169 MB
    xet
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  • added_tokens.json
    4.87 kB
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  • chat_template.jinja
    404 Bytes
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  • merges.txt
    466 kB
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  • preprocessor_config.json
    634 Bytes
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  • processor_config.json
    71 Bytes
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  • special_tokens_map.json
    907 Bytes
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  • tokenizer.json
    3.55 MB
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  • tokenizer_config.json
    29.4 kB
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  • video_preprocessor_config.json
    992 Bytes
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  • vocab.json
    801 kB
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