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macabdul9
/
InfGPT

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

Instructions to use macabdul9/InfGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use macabdul9/InfGPT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="macabdul9/InfGPT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("macabdul9/InfGPT")
    model = AutoModel.from_pretrained("macabdul9/InfGPT")
  • Notebooks
  • Google Colab
  • Kaggle
InfGPT
10.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
macabdul9's picture
macabdul9
Upload tokenizer
88b5584 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
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  • added_tokens.json
    419 kB
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  • config.json
    784 Bytes
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  • merges.txt
    456 kB
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  • model-00001-of-00003.safetensors
    4.99 GB
    xet
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  • model-00002-of-00003.safetensors
    4.93 GB
    xet
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  • model-00003-of-00003.safetensors
    839 MB
    xet
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  • model.safetensors.index.json
    32.9 kB
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  • special_tokens_map.json
    709 Bytes
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  • tokenizer.json
    5.37 MB
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  • tokenizer_config.json
    3.09 MB
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  • vocab.json
    798 kB
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