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Cyrus1020
/
llama2-prompt-av-binary-lora

Text Classification
Transformers
Safetensors
llama
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use Cyrus1020/llama2-prompt-av-binary-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cyrus1020/llama2-prompt-av-binary-lora with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Cyrus1020/llama2-prompt-av-binary-lora")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Cyrus1020/llama2-prompt-av-binary-lora")
    model = AutoModelForSequenceClassification.from_pretrained("Cyrus1020/llama2-prompt-av-binary-lora")
  • Notebooks
  • Google Colab
  • Kaggle
llama2-prompt-av-binary-lora
3.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
Cyrus1020's picture
Cyrus1020
Update README.md
605d8a7 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.31 kB
    Update README.md about 2 years ago
  • config.json
    1.11 kB
    Upload LlamaForSequenceClassification over 2 years ago
  • model.safetensors
    3.6 GB
    xet
    Upload LlamaForSequenceClassification over 2 years ago