Text-to-Speech
Transformers
Safetensors
English
Chinese
arkasr
text-generation
automatic-speech-recognition
voice-conversion
speech
audio
custom_code
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
- Xet hash:
- b52b7cac725d14101300ab062c7e8e6d81be5fd808d0bcdfd5348877404962d0
- Size of remote file:
- 2.31 GB
- SHA256:
- 9a7d69140f7b75d815e2136a83fc307dc353f6d5ecd2134a1187d6948ae6aa37
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