huggingface/audio-transformers-course
The Hugging Face Course on Transformers for Audio
- Stars
- 528
- Forks
- 158
- Open issues
- 37
- Last push
- 16d ago
About audio-transformers-course
audio-transformers-course is a free, open-source AI voice and audio tool by huggingface, written mainly in MDX. The Hugging Face Course on Transformers for Audio. It has 528 GitHub stars and 158 forks, and was last updated 16d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- MDX
- Stars
- 528
- Last update
- 16d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
Similar free tools
transformers168k stars · 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
introtodeeplearning8.8k stars · Lab Materials for MIT 6.S191: Introduction to Deep Learning
mlx-audio8.1k stars · A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
TTS-Audio-Suite1.2k stars · A ComfyUI custom node integration for local multi-engine multi-language Text-to-Speech and Voice Conversion. Supports: RVC, Echo-TTS, Qwen3-TTS, Cozy Voice 3, Step Audio EditX, IndexTTS-2, Chatterbox
MMAudio2.3k stars · [CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
Amphion10k stars · Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio,
audio-transformers-course FAQ
Is audio-transformers-course free?
Yes. audio-transformers-course is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does audio-transformers-course run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does audio-transformers-course need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is audio-transformers-course still maintained?
Yes. It was last updated 16d ago and has 37 open issues on GitHub.
What are alternatives to audio-transformers-course?
Similar free, open-source tools include transformers, introtodeeplearning, mlx-audio, TTS-Audio-Suite.