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nikhil0504
/
fs-llama3-full

Feature Extraction
Transformers
Safetensors
llama
Model card Files Files and versions
xet
Community

Instructions to use nikhil0504/fs-llama3-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nikhil0504/fs-llama3-full with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="nikhil0504/fs-llama3-full")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("nikhil0504/fs-llama3-full")
    model = AutoModel.from_pretrained("nikhil0504/fs-llama3-full")
  • Notebooks
  • Google Colab
  • Kaggle
fs-llama3-full
30.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
nikhil0504's picture
nikhil0504
Upload model
e606ed0 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
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  • adapter_config.json
    738 Bytes
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  • adapter_model.safetensors
    168 MB
    xet
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  • config.json
    721 Bytes
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  • model-00001-of-00007.safetensors
    4.9 GB
    xet
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  • model-00002-of-00007.safetensors
    4.86 GB
    xet
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  • model-00003-of-00007.safetensors
    4.79 GB
    xet
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  • model-00004-of-00007.safetensors
    4.86 GB
    xet
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  • model-00005-of-00007.safetensors
    4.79 GB
    xet
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  • model-00006-of-00007.safetensors
    4.86 GB
    xet
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  • model-00007-of-00007.safetensors
    1.11 GB
    xet
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  • model.safetensors.index.json
    65 kB
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