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abr-6024
/
schema-json-extractor-4B

Text Generation
PEFT
Safetensors
English
lora
qlora
json
structured-extraction
information-extraction
schema
conversational
Model card Files Files and versions
xet
Community

Instructions to use abr-6024/schema-json-extractor-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use abr-6024/schema-json-extractor-4B with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")
    model = PeftModel.from_pretrained(base_model, "abr-6024/schema-json-extractor-4B")
  • Notebooks
  • Google Colab
  • Kaggle
schema-json-extractor-4B
280 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
abr-6024's picture
abr-6024
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  • eval
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  • .gitattributes
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  • BLOG.md
    9.62 kB
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  • README.md
    6.5 kB
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  • adapter_config.json
    1.18 kB
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  • adapter_model.safetensors
    264 MB
    xet
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  • added_tokens.json
    707 Bytes
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  • chat_template.jinja
    2.63 kB
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  • merges.txt
    1.67 MB
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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
    5.41 kB
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  • vocab.json
    2.78 MB
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