Instructions to use starkdmi/MossFormer2-SE-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use starkdmi/MossFormer2-SE-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MossFormer2-SE-fp16 starkdmi/MossFormer2-SE-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
MossFormer2 SE fp16 (MLX)
48kHz speech enhancement model converted to MLX format (fp16).
Original Model
alibabasglab/MossFormer2_SE_48K
Usage
from mlx_audio.sts.models.mossformer2_se import MossFormer2SEModel
model = MossFormer2SEModel.from_pretrained("starkdmi/MossFormer2-SE-fp16")
enhanced = model.enhance("noisy.wav")
Precision Variants
- MossFormer2-SE (fp32, 211MB)
- MossFormer2-SE-fp16 (fp16, 106MB) โ this
- MossFormer2-SE-8bit (int8, 86MB)
- MossFormer2-SE-6bit (int6, 75MB)
- MossFormer2-SE-4bit (int4, 64MB)
Performance
~30x real-time on Apple M4
- Downloads last month
- 136
Hardware compatibility
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