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mhosseina96
/
Llama-3.2-1B-LENA

Feature Extraction
Transformers
Safetensors
llama
binary-code-similarity
assembly
code
representation-learning
Model card Files Files and versions
xet
Community

Instructions to use mhosseina96/Llama-3.2-1B-LENA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mhosseina96/Llama-3.2-1B-LENA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mhosseina96/Llama-3.2-1B-LENA")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mhosseina96/Llama-3.2-1B-LENA", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Llama-3.2-1B-LENA
2.62 GB
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  • 1 contributor
History: 4 commits
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mhosseina96
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