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Aratako
/
T5Gemma-TTS-2b-2b-encoder-4bit

Text-to-Speech
Transformers
Safetensors
English
Chinese
Japanese
t5gemma_voice
text2text-generation
speech
tts
custom_code
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use Aratako/T5Gemma-TTS-2b-2b-encoder-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aratako/T5Gemma-TTS-2b-2b-encoder-4bit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Aratako/T5Gemma-TTS-2b-2b-encoder-4bit", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSeq2SeqLM
    model = AutoModelForSeq2SeqLM.from_pretrained("Aratako/T5Gemma-TTS-2b-2b-encoder-4bit", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

License & Ethics Agreement

This model is for Non-Commercial Use Only (CC-BY-NC 4.0) and follows the Gemma Terms of Use. Malicious use, including impersonation, is strictly prohibited.

Log in or Sign Up to review the conditions and access this model content.

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