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AutoArk-AI
/
GPA-v1.5

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

Instructions to use AutoArk-AI/GPA-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AutoArk-AI/GPA-v1.5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="AutoArk-AI/GPA-v1.5", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("AutoArk-AI/GPA-v1.5", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GPA-v1.5 / spark_tokenizer_model
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
chua's picture
chua
Upload GPA v1.5 model package
7e53c9a 13 days ago
  • wav2vec2-large-xlsr-53
    Upload GPA v1.5 model package 13 days ago
  • config.json
    1.77 kB
    Upload GPA v1.5 model package 13 days ago
  • config.yaml
    1.33 kB
    Upload GPA v1.5 model package 13 days ago
  • model.safetensors
    626 MB
    xet
    Upload GPA v1.5 model package 13 days ago