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nytopop
/
1b_or_base

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

Instructions to use nytopop/1b_or_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nytopop/1b_or_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="nytopop/1b_or_base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("nytopop/1b_or_base")
    model = AutoModelForCausalLM.from_pretrained("nytopop/1b_or_base")
  • Notebooks
  • Google Colab
  • Kaggle
1b_or_base
2.62 GB
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  • 1 contributor
History: 7 commits
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  • .gitattributes
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  • README.md
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  • chat_template.jinja
    617 Bytes
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  • config.json
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  • generation_config.json
    164 Bytes
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  • model.safetensors
    2.59 GB
    xet
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  • special_tokens_map.json
    489 Bytes
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  • tokenizer.json
    22.8 MB
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  • tokenizer_config.json
    5.4 MB
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