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xxccho
/
margin_reg_baseline_code

PEFT
Safetensors
Transformers
lora
reward-trainer
trl
Model card Files Files and versions
xet
Community

Instructions to use xxccho/margin_reg_baseline_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use xxccho/margin_reg_baseline_code with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.1-8B-Instruct")
    model = PeftModel.from_pretrained(base_model, "xxccho/margin_reg_baseline_code")
  • Transformers

    How to use xxccho/margin_reg_baseline_code with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("xxccho/margin_reg_baseline_code", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
margin_reg_baseline_code / checkpoint-1476
99.4 MB
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  • 1 contributor
History: 1 commit
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xxccho
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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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  • optimizer.pt
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  • rng_state.pth
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  • scheduler.pt
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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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  • trainer_state.json
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  • training_args.bin
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