Feature Extraction
Transformers
Safetensors
moss-audio-tokenizer
audio
audio-tokenizer
neural-codec
moss-tts-family
MOSS Audio Tokenizer Nano
speech-tokenizer
trust-remote-code
custom_code
Instructions to use OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Update MOSS-Audio-Tokenizer-Nano model card 6aa02b0
KuangWei Chen commited on
optimize flash attention import 8ee35eb
Kuangwei Chen commited on
Update readme 737e5b1
Kuangwei Chen commited on
Update for realtime 1c2bf4d
Kuangwei Chen commited on
update nano d4a3b2c
--replace-all commited on