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Tao-AI-Informatics
/
Qwen3-8B-LoRA-ContextBioEL-Reranker-SFT

Text Generation
PEFT
Safetensors
qwen
qwen3
lora
biomedical-entity-linking
clinical-nlp
concept-normalization
reranking
candidate-ranking
reasoning
conversational
Model card Files Files and versions
xet
Community

Instructions to use Tao-AI-Informatics/Qwen3-8B-LoRA-ContextBioEL-Reranker-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Tao-AI-Informatics/Qwen3-8B-LoRA-ContextBioEL-Reranker-SFT with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/dgx1data/aii/tao/tools/models/Qwen/Qwen3-8B/models--Qwen--Qwen3-8B/snapshots/b968826d9c46dd6066d109eabc6255188de91218")
    model = PeftModel.from_pretrained(base_model, "Tao-AI-Informatics/Qwen3-8B-LoRA-ContextBioEL-Reranker-SFT")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-8B-LoRA-ContextBioEL-Reranker-SFT
186 MB
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  • 1 contributor
History: 2 commits
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pengzeli
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  • .gitattributes
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  • PREPARE_LOG.txt
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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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  • tokenizer.json
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  • tokenizer_config.json
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