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saheedniyi
/
YarnGPT

Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use saheedniyi/YarnGPT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="saheedniyi/YarnGPT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("saheedniyi/YarnGPT")
    model = AutoModelForCausalLM.from_pretrained("saheedniyi/YarnGPT")
  • Notebooks
  • Google Colab
  • Kaggle
YarnGPT
752 MB
Ctrl+K
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  • 1 contributor
History: 34 commits
saheedniyi's picture
saheedniyi
Update README.md
81aa986 verified about 1 year ago
  • audio
    Upload YearnGPT.mp4 over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    14.5 kB
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  • Sample_5.wav
    215 kB
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  • added_tokens.json
    64.5 kB
    model over 1 year ago
  • config.json
    770 Bytes
    Upload LlamaForCausalLM over 1 year ago
  • generation_config.json
    111 Bytes
    final over 1 year ago
  • merges.txt
    466 kB
    model over 1 year ago
  • model.safetensors
    732 MB
    xet
    Upload LlamaForCausalLM over 1 year ago
  • special_tokens_map.json
    977 Bytes
    model over 1 year ago
  • tokenizer.json
    4.08 MB
    model over 1 year ago
  • tokenizer_config.json
    532 kB
    model over 1 year ago
  • vocab.json
    801 kB
    model over 1 year ago