Feature Extraction
Transformers
Safetensors
MLX
moss-audio-tokenizer
audio
audio-tokenizer
neural-codec
moss-tts-family
MOSS Audio Tokenizer
speech-tokenizer
mlx-audio
custom_code
Instructions to use mlx-community/MOSS-Audio-Tokenizer-Nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/MOSS-Audio-Tokenizer-Nano with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mlx-community/MOSS-Audio-Tokenizer-Nano", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mlx-community/MOSS-Audio-Tokenizer-Nano", trust_remote_code=True, dtype="auto") - MLX
How to use mlx-community/MOSS-Audio-Tokenizer-Nano with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MOSS-Audio-Tokenizer-Nano mlx-community/MOSS-Audio-Tokenizer-Nano
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!