Any-to-Any
Transformers
ONNX
Safetensors
multilingual
qwen2
omni
custom_code
audio
speech
voice cloning
live Streaming
realtime speech conversation
asr
tts
text-generation-inference
Instructions to use jdh-algo/JoyTTS-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jdh-algo/JoyTTS-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jdh-algo/JoyTTS-v1", trust_remote_code=True) model = AutoModel.from_pretrained("jdh-algo/JoyTTS-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab6a6eaad629613e84aad434e7ca33793b6c6cabb098e6b3a896ab20c8de7d75
- Size of remote file:
- 2.02 GB
- SHA256:
- b144ef55b51ce8cfb79a73c90dbba0bdaba4e451c0ebcfab20f769264f84a608
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