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
Add model card: provenance, files, precision guidance
Browse files
README.md
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license: apache-2.0
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---
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# FRCRN SE 16K (MLX)
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This model was converted to MLX format from
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[alibabasglab/FRCRN_SE_16K](https://huggingface.co/alibabasglab/FRCRN_SE_16K).
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**Code:** [starkdmi/frcrn_mlx](https://github.com/starkdmi/frcrn_mlx)
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---
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license: apache-2.0
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base_model: alibabasglab/FRCRN_SE_16K
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tags:
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- mlx
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- audio
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- audio-to-audio
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- speech-enhancement
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# FRCRN SE 16K (MLX)
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Speech enhancement at 16 kHz. This model was converted to MLX format from
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[alibabasglab/FRCRN_SE_16K](https://huggingface.co/alibabasglab/FRCRN_SE_16K).
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**Code:** [starkdmi/frcrn_mlx](https://github.com/starkdmi/frcrn_mlx)
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## Files
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| file | size | notes |
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| --- | ---: | --- |
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| `model_fp32.safetensors` | 56 MB | the weights |
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| `FRCRN_SE_16K.yaml` | 614 B | upstream model configuration |
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| `weights.npz` | 110 MB | superseded, see below |
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fp32 only; no half-precision or quantized conversion is published.
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`weights.npz` predates the safetensors conversion and is kept only so that
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anything already referring to it keeps working. It is not what loads: use
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`model_fp32.safetensors`.
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## Use
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Consumed by [AudioToolSwift](https://github.com/starkdmi) as
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`ModelRepository.frcrnSE16K`, which pins this repository to an exact revision and
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verifies the SHA-256 of every file it downloads. The loader reads the safetensors
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and nothing else — the YAML is provided for reference.
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