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Devakumar868
/
results

PEFT
Safetensors
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Devakumar868/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Devakumar868/results with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-instruct")
    model = PeftModel.from_pretrained(base_model, "Devakumar868/results")
  • Notebooks
  • Google Colab
  • Kaggle
results / final_peft_model
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Devakumar868's picture
Devakumar868
Devakumar868/deepseek-coder-1.3b-instruct-personal-qna
3cc5662 verified 12 months ago
  • README.md
    5.11 kB
    Devakumar868/deepseek-coder-1.3b-instruct-personal-qna 12 months ago
  • adapter_config.json
    872 Bytes
    Devakumar868/deepseek-coder-1.3b-instruct-personal-qna 12 months ago
  • adapter_model.safetensors
    30 MB
    xet
    Devakumar868/deepseek-coder-1.3b-instruct-personal-qna 12 months ago
  • chat_template.jinja
    1.04 kB
    Devakumar868/deepseek-coder-1.3b-instruct-personal-qna 12 months ago
  • special_tokens_map.json
    462 Bytes
    Devakumar868/deepseek-coder-1.3b-instruct-personal-qna 12 months ago
  • tokenizer.json
    2.29 MB
    Devakumar868/deepseek-coder-1.3b-instruct-personal-qna 12 months ago
  • tokenizer_config.json
    4.3 kB
    Devakumar868/deepseek-coder-1.3b-instruct-personal-qna 12 months ago