This model has been pushed to the Hub using the PytorchModelHubMixin integration: Code: https://github.com/facebookresearch/audiobox aesthetics Paper: https://huggingface.co/papers/2502.05139 README below copied from https://github.com/facebookresearch/audiobox aesthetics audiobox aesthetics Unified automatic quality assessment for speech, music, and sound. Paper arXiv / MetaAI. Blogpost ai.meta.com Installation 1. Install via pip 2. Install directly from source This repository requires Python 3.9 and Pytorch 2.2 or greater. To install, you can clone this repo and run: Pre trained Models Model S3 HuggingFace All axes checkpoint.pt HF Repo Usage How to run prediction using CLI: 1. Create a jsonl files with the following format or if you only want to predict aesthetic scores from certain timestamp and save it as input.jsonl 2. Run following command If you haven't downloade the checkpoint, the script will try to download it automatically. Otherwise, you can provide the path by ckpt /path/to/checkpoint.pt If you have SLURM, run the following command Please adjust CPU & GPU settings using slurm gpu, slurm cpu depending on your nodes. 3. Output file will contain the same number of rows a…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy