Инструменты разработчика
datasets
Hugging Face's library for loading and processing datasets for AI models in one line
★ 22,0 тыс. звёздApache-2.0
Смотреть руководство →agents-course — проект с открытым исходным кодом из категории «Инструменты разработчика» от huggingface (huggingface/agents-course на GitHub). У него 33 310 звёзд на GitHub и 2 382 форка, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 6 октября 2026.
Hugging Face's free course on AI agents — smolagents, LangGraph and LlamaIndex, with a final benchmark
Decide what you want to achieve with agents-course and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
Units run from a welcome and agent fundamentals to frameworks and a final benchmarked assignment.
Dedicated units on smolagents, LangGraph and LlamaIndex show three different ways to build agents.
A bonus unit covers fine-tuning an LLM for function calling.
The course is free to join via the sign-up link in the README, with a final assignment to validate skills.
Units include practical exercises building real agents, not just reading material.
The repo documents how to contribute fixes and even new units to the course.
Clone the course source to read units locally or explore the MDX files.
git clone https://github.com/huggingface/agents-course.git
cd agents-courseThe actual course — with interactive exercises — lives on Hugging Face Learn; sign up free from the README link.
# open https://hf.co/learn/agents-course and sign up (free)Start with the introduction to agents, then run the smolagents examples in the framework units.
# follow Unit 1 at https://huggingface.co/learn/agents-course — see README for the unit tableagents-course is maintained by the huggingface organization/account on GitHub, together with open-source contributors, in the public repository huggingface/agents-course.
Yes — the code is open source under the Apache-2.0 license. You can use, modify and redistribute it under that license's terms.
The course is free; some exercises call hosted models through Hugging Face, where a free account is enough for the course-scale usage described.
This is a free, framework-hands-on course from the team behind smolagents and the Hub — lighter on theory than a textbook, stronger on runnable practice.
Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.
Hugging Face's library for loading and processing datasets for AI models in one line
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