huggingface/audio-transformers-course
The Hugging Face Course on Transformers for Audio
This is a free, open-source educational course designed for machine learning practitioners interested in processing audio and speech data. It teaches you how to use Transformer models for various audio tasks, taking you from raw audio files to advanced speech applications. The course is suitable for developers, researchers, or students looking to apply state-of-the-art deep learning techniques to sound.
486 stars.
Use this if you want to learn how to apply cutting-edge Transformer models to understand and generate audio or speech, from scratch or to enhance your existing skills.
Not ideal if you are looking for a general introduction to machine learning or a course not specifically focused on audio data and Transformer architectures.
Stars
486
Forks
149
Language
MDX
License
Apache-2.0
Category
Last pushed
Jan 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/huggingface/audio-transformers-course"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
azukds/tubular
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
huggingface/course
The Hugging Face course on Transformers
rickiepark/nlp-with-transformers
<트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
OscarKjell/text
Using Transformers from HuggingFace in R