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wjbmattingly
/
Qwen3-8B-Coref-NER

Text Generation
PEFT
Safetensors
English
coreference-resolution
ner
entity-extraction
qwen3
lora
conversational
Model card Files Files and versions
xet
Community

Instructions to use wjbmattingly/Qwen3-8B-Coref-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use wjbmattingly/Qwen3-8B-Coref-NER with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B")
    model = PeftModel.from_pretrained(base_model, "wjbmattingly/Qwen3-8B-Coref-NER")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-8B-Coref-NER
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  • 1 contributor
History: 2 commits
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wjbmattingly
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  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • chat_template.jinja
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  • inference.py
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  • optimizer.pt
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  • rng_state.pth
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  • scheduler.pt
    1.47 kB
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  • tokenizer.json
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  • tokenizer_config.json
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  • trainer_state.json
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  • training_args.bin
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