Technologies
What is transformers built with?
transformers is a Python repo built with FastAPI. It deploys with psutil and uses Hugging Face. It has 1,811,568 written lines, with 1,742 test files.
Read on November 4, 2026, at commit fd3cf01. Read it as markdown
Backend
The base
Services
- Hugging Face913 files · src/transformers/audio_utils.py, line 30
Support
Deploy
psutil4 files
Other
- NumPy447 files
Other repos with a similar stack
Ordered by how much of its stack they share with transformers, then by stars.
- Significant-GravitasAutoGPT187.9k
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
2 of 4 in common - open-webuiopen-webui157.7k
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
2 of 4 in common · Svelte - langflow-ailangflow156.3k
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
2 of 4 in common - debpalashVoiceStudio100.7k
VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages.
2 of 4 in common
Frequently asked questions
What language is transformers written in?
What framework does transformers use?
What services does transformers use?
The proof: src/transformers/audio_utils.py, line 30
Does transformers have tests?
Which repos have a stack like transformers's?
What is your repo built with?
Paste your public repo and see it drawn.
Free, no account.
Is it your repo? Add its badge, keep it up to date or take it down →