Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

masakiai
/
gemma-2-9b-finetune

PEFT
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use masakiai/gemma-2-9b-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use masakiai/gemma-2-9b-finetune with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b")
    model = PeftModel.from_pretrained(base_model, "masakiai/gemma-2-9b-finetune")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-2-9b-finetune
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
masakiai's picture
masakiai
Update README.md
5581097 verified over 1 year ago
  • .gitattributes
    1.57 kB
    Upload tokenizer over 1 year ago
  • README.md
    3.28 kB
    Update README.md over 1 year ago
  • adapter_config.json
    791 Bytes
    Upload model over 1 year ago
  • adapter_model.safetensors
    216 MB
    xet
    Upload model over 1 year ago
  • special_tokens_map.json
    636 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    34.4 MB
    xet
    Upload tokenizer over 1 year ago
  • tokenizer.model
    4.24 MB
    xet
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    46.4 kB
    Upload tokenizer over 1 year ago