Instructions to use starkdmi/FRCRN_SE_16K_MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use starkdmi/FRCRN_SE_16K_MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir FRCRN_SE_16K_MLX starkdmi/FRCRN_SE_16K_MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| license: apache-2.0 | |
| base_model: alibabasglab/FRCRN_SE_16K | |
| tags: | |
| - mlx | |
| - audio | |
| - audio-to-audio | |
| - speech-enhancement | |
| # FRCRN SE 16K (MLX) | |
| Speech enhancement at 16 kHz. This model was converted to MLX format from | |
| [alibabasglab/FRCRN_SE_16K](https://huggingface.co/alibabasglab/FRCRN_SE_16K). | |
| **Code:** [starkdmi/frcrn_mlx](https://github.com/starkdmi/frcrn_mlx) | |
| ## Files | |
| | file | size | | |
| | --- | ---: | | |
| | `model_fp32.safetensors` | 56 MB | | |
| | `FRCRN_SE_16K.yaml` | 614 B | | |
| ## Used by | |
| [AudioToolSwift](https://github.com/starkdmi/AudioToolSwift) | |