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:
- 6d3ef5b17820a01e1830f13f4ad404fdd1ffb091c636b478791f3f76fde834f0
- Size of remote file:
- 1.46 GB
- SHA256:
- 2800bd503f52b51e45f0c53cfd5c31dcfe8ef7f13d22b396aa3d53e0280dd1e4
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