| --- |
| license: mit |
| pipeline_tag: audio-to-audio |
| tags: |
| - gguf |
| - ggml |
| - speech-enhancement |
| - denoising |
| - audio-enhancement |
| - resemble-enhance |
| base_model: |
| - ResembleAI/resemble-enhance |
| --- |
| |
| # Resemble Enhance GGUF |
|
|
| This repository provides an unofficial GGUF-format distribution of the Resemble Enhance full enhancement model for local GGML-based inference. |
|
|
| It is not an official Resemble AI repository and does not contain a newly trained model. The original project and PyTorch checkpoints are published by Resemble AI. |
|
|
| ## File |
|
|
| | File | Description | |
| |---|---| |
| | `resemble_enhance_full-F16.gguf` | F16 GGUF conversion of the Resemble Enhance full enhancement model | |
|
|
| ## Source |
|
|
| The upstream project is: |
|
|
| - `ResembleAI/resemble-enhance`: https://huggingface.co/ResembleAI/resemble-enhance |
| - GitHub: https://github.com/resemble-ai/resemble-enhance |
|
|
| The upstream project is licensed under MIT. This repository only redistributes a GGUF-format conversion for runtimes that use GGML/GGUF. |
|
|
| ## Download |
|
|
| ```bash |
| hf download studio409/Resemble-Enhance-GGUF \ |
| resemble_enhance_full-F16.gguf \ |
| --repo-type model \ |
| --local-dir resemble_enhance_gguf |
| ``` |
|
|
| ## Intended Use |
|
|
| Resemble Enhance is intended for speech enhancement and denoising workflows. Actual feature support depends on the inference runtime used with this GGUF file. |
|
|
| ## License |
|
|
| The upstream Resemble Enhance project is licensed under MIT. This GGUF distribution follows the same license notice. |
|
|
| Please review the upstream project and license before use or redistribution: |
|
|
| - https://github.com/resemble-ai/resemble-enhance |
| - https://huggingface.co/ResembleAI/resemble-enhance |
|
|
| ## Disclaimer |
|
|
| This is an unofficial GGUF-format distribution. Resemble Enhance and related upstream artifacts belong to their respective authors. This repository is provided for model-format compatibility and local inference convenience. |
|
|
