Text-to-Speech
Transformers
Safetensors
moss_tts_realtime
feature-extraction
audio
moss-tts
custom_code
Instructions to use Allinsama/OpenMOSS-Team__MOSS-TTS-Realtime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Allinsama/OpenMOSS-Team__MOSS-TTS-Realtime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Allinsama/OpenMOSS-Team__MOSS-TTS-Realtime", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Allinsama/OpenMOSS-Team__MOSS-TTS-Realtime", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Allinsama/OpenMOSS-Team__MOSS-TTS-Realtime: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Allinsama/OpenMOSS-Team__MOSS-TTS-Realtime/resolve/main/tokenizer.json
- Command line
-
hf download hf://Allinsama/OpenMOSS-Team__MOSS-TTS-Realtime/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Allinsama/OpenMOSS-Team__MOSS-TTS-Realtime/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 8b4076e11976b8f35a16feaecd50a50cd6487bcc6cbad6af7bcb2a9f651cca7e
- Size of remote file:
- 11.4 MB
- SHA256:
- a474913a182c0ad6297e47244a990659638b3093121fa92a4701fd45bd95c921
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