Text-to-Speech
Transformers
ONNX
Safetensors
English
Chinese
automatic-speech-recognition
voice-conversion
speech
audio
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
- Xet hash:
- cf019eaee9ec08af5e27cdf75439ed3dbb8893bf58a19d4cd7b1f75d5e63056b
- Size of remote file:
- 1.27 GB
- SHA256:
- 314340227371a608f71adcd5f0de5933824fe77e55822aa4b24dba9c1c364dcb
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