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AutoArk-AI
/
GPA

Text-to-Speech
Transformers
ONNX
Safetensors
English
Chinese
automatic-speech-recognition
voice-conversion
speech
audio
Model card Files Files and versions
xet
Community

Instructions to use AutoArk-AI/GPA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AutoArk-AI/GPA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="AutoArk-AI/GPA")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("AutoArk-AI/GPA", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GPA / GPA_TTS /GPA_TTS_FP32 /model
387 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
chua's picture
chua
modify the directory hierachy.
fdfbf44 3 months ago
  • spark_detokenizer_fp32.onnx
    1.72 MB
    xet
    modify the directory hierachy. 3 months ago
  • spark_detokenizer_fp32.onnx.data

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    385 MB
    xet
    modify the directory hierachy. 3 months ago