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AutoArk-AI
/
GPA

Text-to-Speech
Transformers
ONNX
Safetensors
English
Chinese
qwen3
text-generation
automatic-speech-recognition
voice-conversion
speech
audio
custom_code
text-generation-inference
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", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("AutoArk-AI/GPA", trust_remote_code=True)
    model = AutoModelForCausalLM.from_pretrained("AutoArk-AI/GPA", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
GPA / GPA_TTS
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
chua's picture
chua
modify the directory hierachy.
fdfbf44 about 1 month ago
  • GPA_TTS_FP16
    modify the directory hierachy. about 1 month ago
  • GPA_TTS_FP32
    modify the directory hierachy. about 1 month ago
  • GPA_TTS_INT8
    modify the directory hierachy. about 1 month ago