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tomer-shimshi
/
llama2-Rav

Text Generation
PEFT
Safetensors
English
Model card Files Files and versions
xet
Community

Instructions to use tomer-shimshi/llama2-Rav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use tomer-shimshi/llama2-Rav with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf")
    model = PeftModel.from_pretrained(base_model, "tomer-shimshi/llama2-Rav")
  • Notebooks
  • Google Colab
  • Kaggle
llama2-Rav
38.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
tomer-shimshi's picture
tomer-shimshi
Upload finale_project_Rav_talk.py
42b6a47 verified over 2 years ago
  • results_fine_tune_after_shulhan_aruch_no_heb_V3
    Upload 8 files over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    5.31 kB
    Update README.md over 2 years ago
  • adapter_config.json
    683 Bytes
    Upload 7 files over 2 years ago
  • adapter_model.safetensors
    16.8 MB
    xet
    Upload 7 files over 2 years ago
  • added_tokens.json
    24 Bytes
    Upload 8 files over 2 years ago
  • finale_project_Rav_talk.py
    3.02 kB
    Upload finale_project_Rav_talk.py over 2 years ago
  • special_tokens_map.json
    458 Bytes
    Upload 8 files over 2 years ago
  • tokenizer.json
    1.84 MB
    Upload 8 files over 2 years ago
  • tokenizer.model
    500 kB
    xet
    Upload 8 files over 2 years ago
  • tokenizer_config.json
    1.2 kB
    Upload 7 files over 2 years ago