Audio-to-Audio
MLX
Safetensors
speech-enhancement
speech-denoising
gtcrn
apple-silicon
onnx-conversion
Instructions to use agentable/gtcrn-simple-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use agentable/gtcrn-simple-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gtcrn-simple-mlx agentable/gtcrn-simple-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 545 Bytes
86ec9b8 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"asset_bytes": 208427,
"asset_filename": "model.safetensors",
"asset_sha256": "d503ed83a35b91f66af97a6a1b07a76425988db7d9744556d0565c336a7e6e3b",
"audit_sha256": "23e83d7bc95de4ea3b8ee2940ec12592284b33ed05e8bcea3d51349a04fa7918",
"converter_sha256": "45bd6d99d87f4a4667642e9bec0f6f21c384e5c7dc6e19167e9d595ead4a579c",
"generated_by": "scripts/convert_onnx_to_mlx.py",
"schema_version": "gtcrn-mlx-conversion-v1",
"source_onnx_sha256": "e77603ac0c23dac3227dd2d7135b3a585cbee2679048aecfa886657d3ae1b534",
"tensor_count": 179
}
|