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Despina
/
Qwen2.5-0.5B-Instruct-re_gentune-2-shot

Text Generation
PEFT
Safetensors
English
relation-extraction
information-extraction
qlora
lora
nlp
conversational
Model card Files Files and versions
xet
Community

Instructions to use Despina/Qwen2.5-0.5B-Instruct-re_gentune-2-shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Despina/Qwen2.5-0.5B-Instruct-re_gentune-2-shot with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct")
    model = PeftModel.from_pretrained(base_model, "Despina/Qwen2.5-0.5B-Instruct-re_gentune-2-shot")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen2.5-0.5B-Instruct-re_gentune-2-shot
81.9 MB
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  • 1 contributor
History: 3 commits
Despina's picture
Despina
Update README.md
5b9c14e verified about 23 hours ago
  • .gitattributes
    1.57 kB
    SFT: Qwen2.5-0.5B-Instruct-re_gentune-2-shot 5 months ago
  • README.md
    5.42 kB
    Update README.md about 23 hours ago
  • adapter_config.json
    1.06 kB
    SFT: Qwen2.5-0.5B-Instruct-re_gentune-2-shot 5 months ago
  • adapter_model.safetensors
    70.4 MB
    xet
    SFT: Qwen2.5-0.5B-Instruct-re_gentune-2-shot 5 months ago
  • chat_template.jinja
    2.51 kB
    SFT: Qwen2.5-0.5B-Instruct-re_gentune-2-shot 5 months ago
  • tokenizer.json
    11.4 MB
    xet
    SFT: Qwen2.5-0.5B-Instruct-re_gentune-2-shot 5 months ago
  • tokenizer_config.json
    665 Bytes
    SFT: Qwen2.5-0.5B-Instruct-re_gentune-2-shot 5 months ago