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Rootpye
/
Kolaw-1

Text Generation
PEFT
Safetensors
lora
transformer
law
conversational
Model card Files Files and versions
xet
Community

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

  • Libraries
  • PEFT

    How to use Rootpye/Kolaw-1 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B")
    model = PeftModel.from_pretrained(base_model, "Rootpye/Kolaw-1")
  • Notebooks
  • Google Colab
  • Kaggle
Kolaw-1
50.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Rootpye's picture
Rootpye
Update README.md
f7a2f78 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    8.77 kB
    Update README.md 10 months ago
  • adapter_config.json
    936 Bytes
    Upload 9 files 10 months ago
  • adapter_model.safetensors
    39.4 MB
    xet
    Upload 9 files 10 months ago
  • added_tokens.json
    925 Bytes
    Upload 9 files 10 months ago
  • chat_template.jinja
    291 Bytes
    Upload 9 files 10 months ago
  • merges.txt
    1.08 MB
    Upload 9 files 10 months ago
  • special_tokens_map.json
    1.93 kB
    Upload 9 files 10 months ago
  • tokenizer.json
    8.03 MB
    Upload 9 files 10 months ago
  • tokenizer_config.json
    11.6 kB
    Upload 9 files 10 months ago
  • vocab.json
    1.86 MB
    Upload 9 files 10 months ago