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prasannabhat
/
frontend-1

PEFT
Safetensors
lora
qwen
frontend
Model card Files Files and versions
xet
Community

Instructions to use prasannabhat/frontend-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use prasannabhat/frontend-1 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/workspace/models/Qwen2.5-Coder-32B-Instruct")
    model = PeftModel.from_pretrained(base_model, "prasannabhat/frontend-1")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.57 kB
    Full upload of LoRA weights and configs 4 months ago
  • README.md
    163 Bytes
    Full upload of LoRA weights and configs 4 months ago
  • adapter_config.json
    1.07 kB
    Full upload of LoRA weights and configs 4 months ago
  • adapter_model.safetensors
    269 MB
    xet
    Full upload of LoRA weights and configs 4 months ago
  • added_tokens.json
    605 Bytes
    Full upload of LoRA weights and configs 4 months ago
  • chat_template.jinja
    2.51 kB
    Full upload of LoRA weights and configs 4 months ago
  • merges.txt
    1.67 MB
    Full upload of LoRA weights and configs 4 months ago
  • special_tokens_map.json
    496 Bytes
    Full upload of LoRA weights and configs 4 months ago
  • tokenizer.json
    11.4 MB
    xet
    Full upload of LoRA weights and configs 4 months ago
  • tokenizer_config.json
    4.68 kB
    Full upload of LoRA weights and configs 4 months ago
  • vocab.json
    2.78 MB
    Full upload of LoRA weights and configs 4 months ago