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Aratako
/
MioTTS-2.6B

Text-to-Speech
Transformers
Safetensors
Japanese
English
lfm2
text-generation
speech
tts
voice
Model card Files Files and versions
xet
Community
3

Instructions to use Aratako/MioTTS-2.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aratako/MioTTS-2.6B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Aratako/MioTTS-2.6B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Aratako/MioTTS-2.6B")
    model = AutoModelForCausalLM.from_pretrained("Aratako/MioTTS-2.6B")
  • Notebooks
  • Google Colab
  • Kaggle
MioTTS-2.6B
5.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Aratako's picture
Aratako
Update README.md
0813338 verified 4 months ago
  • samples
    Upload 8 files 4 months ago
  • .gitattributes
    2 kB
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  • LICENSE
    10.6 kB
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  • README.md
    7.77 kB
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  • chat_template.jinja
    205 Bytes
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  • config.json
    1.46 kB
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  • generation_config.json
    163 Bytes
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  • model-00001-of-00002.safetensors
    4.98 GB
    xet
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  • model-00002-of-00002.safetensors
    210 MB
    xet
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  • model.safetensors.index.json
    21.4 kB
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  • special_tokens_map.json
    434 Bytes
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  • tokenizer.json
    7.11 MB
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  • tokenizer_config.json
    2.35 MB
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