Text-to-Speech
Transformers
ONNX
Safetensors
English
Chinese
qwen3
text-generation
automatic-speech-recognition
voice-conversion
speech
audio
custom_code
text-generation-inference
Instructions to use Edge0/GPA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edge0/GPA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Edge0/GPA", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Edge0/GPA", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("Edge0/GPA", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatureeebf82a -
Update README.md
Verified signature362432a
-
modify the directory hierachy.
fdfbf44 -
GPA_TTS: add fp16&fp32 decoder option
59ec255
-
Upload GPT-TTS-int8-light
11bd624
-
Upload modeling_qwen3.py with huggingface_hub
Verified signature6564fb9
-
Upload folder using huggingface_hub
Verified signature1c3f89f -
Upload folder using huggingface_hub
Verified signature0c6dd01 -
Delete folder gpa_0_3b with huggingface_hub
Verified signature741e66e
-
Upload folder using huggingface_hub
Verified signature435ac83
-
Upload folder using huggingface_hub
Verified signature52562da -
Upload folder using huggingface_hub
Verified signature9d2cda9 -
Upload folder using huggingface_hub
Verified signaturef6f5eb5
-
initial commit
Verified signature09494d1