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michaelbenayoun
/
llama-2-tiny-16layers-random

Feature Extraction
Transformers
Safetensors
llama
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use michaelbenayoun/llama-2-tiny-16layers-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use michaelbenayoun/llama-2-tiny-16layers-random with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="michaelbenayoun/llama-2-tiny-16layers-random")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("michaelbenayoun/llama-2-tiny-16layers-random")
    model = AutoModel.from_pretrained("michaelbenayoun/llama-2-tiny-16layers-random")
  • Notebooks
  • Google Colab
  • Kaggle
llama-2-tiny-16layers-random
6.92 MB
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  • 1 contributor
History: 12 commits
michaelbenayoun's picture
michaelbenayoun HF Staff
Upload tokenizer
6b4239f over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    708 Bytes
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  • generation_config.json
    132 Bytes
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  • model.safetensors
    4.57 MB
    xet
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  • special_tokens_map.json
    414 Bytes
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  • tokenizer.json
    1.84 MB
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  • tokenizer.model
    500 kB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    867 Bytes
    Upload tokenizer over 2 years ago