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BioRel
/
coldstart-lora-3b

Text Generation
PEFT
Safetensors
lora
knowledge-graph-completion
link-prediction
biomedical
cold-start
conversational
Model card Files Files and versions
xet
Community

Instructions to use BioRel/coldstart-lora-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use BioRel/coldstart-lora-3b with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct")
    model = PeftModel.from_pretrained(base_model, "BioRel/coldstart-lora-3b")
  • Notebooks
  • Google Colab
  • Kaggle
coldstart-lora-3b
406 MB
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  • 1 contributor
History: 2 commits
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BioRel
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  • .gitattributes
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  • README.md
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  • adapter_config.json
    1.25 kB
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  • adapter_model.safetensors
    389 MB
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  • chat_template.jinja
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  • tokenizer.json
    17.2 MB
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  • tokenizer_config.json
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