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:
- 5a171d606a78b926d5127d4d740397cba531c3e8eed509dc0b1bc1b8c9fb5ac0
- Size of remote file:
- 3.22 MB
- SHA256:
- b57f4fa23fd0c921ed263fc4fa7dc5139afaa35c03000d53762e3213c1813047
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