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wizeng23
/
Llama-test

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

Instructions to use wizeng23/Llama-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wizeng23/Llama-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="wizeng23/Llama-test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("wizeng23/Llama-test")
    model = AutoModel.from_pretrained("wizeng23/Llama-test")
  • Notebooks
  • Google Colab
  • Kaggle
Llama-test
15 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
wizeng23's picture
wizeng23
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b9a1b48 verified about 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
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  • config.json
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  • model-00001-of-00004.safetensors
    4.98 GB
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  • model-00002-of-00004.safetensors
    5 GB
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  • model-00003-of-00004.safetensors
    4.92 GB
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  • model-00004-of-00004.safetensors
    117 MB
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  • model.safetensors.index.json
    22.2 kB
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  • special_tokens_map.json
    301 Bytes
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  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    50.5 kB
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