Downloads · 30 days
0
osanseviero/audio_test
audio_test is a audio-to-audio model from osanseviero. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. It is set up for generic.
This is a template repository for Audio to Audio to support generic inference with Hugging Face Hub generic Inference API. Examples of Audio to Audio are Source Separation and Speech Enhancement. There are two require…
Downloads · 30 days
0
Access
Public
Updated Aug 6, 2021
Repo size
—
Likes
0
Public
Click a slice to open those files.
.py1.5 KB · 47%
From the Hugging Face model README
This is a template repository for Audio to Audio to support generic inference with Hugging Face Hub generic Inference API. Examples of Audio to Audio are Source Separation and Speech Enhancement. There are two required steps:
requirements.txt file.pipeline.py __init__ and __call__ methods. These methods are called by the Inference API. The __init__ method should load the model and preload all the elements needed for inference (model, processors, tokenizers, etc.). This is only called once. The __call__ method performs the actual inference. Make sure to follow the same input/output specifications defined in the template for the pipeline to work.Example repos