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Tonic
/
adaption_emir_reporting_code_gen

PEFT
Safetensors
gpt_oss
lora
adapter
adaption
Model card Files Files and versions
xet
Community

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

  • Libraries
  • PEFT

    How to use Tonic/adaption_emir_reporting_code_gen with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/gpt-oss-120b-bf16")
    model = PeftModel.from_pretrained(base_model, "Tonic/adaption_emir_reporting_code_gen")
  • Notebooks
  • Google Colab
  • Kaggle
adaption_emir_reporting_code_gen
219 MB
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  • 1 contributor
History: 2 commits
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Tonic
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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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  • config.json
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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-metrics.png
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  • win-rates.png
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