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baglecake
/
ces-phase2-lora

Text Generation
PEFT
Safetensors
English
llama
lora
political-science
survey-replication
canadian-election-study
unsloth
conversational
Model card Files Files and versions
xet
Community

Instructions to use baglecake/ces-phase2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use baglecake/ces-phase2-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "baglecake/ces-phase2-lora")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
ces-phase2-lora
353 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
baglecake's picture
baglecake
Add temporal generalization results (2019, 2015 time travel tests)
476c6b2 verified 10 months ago
  • .DS_Store
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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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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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