Best of Hugging Face — May 2025

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    Article
    Avatar of huggingfaceHugging Face·1y

    Tiny Agents in Python: a MCP-powered agent in ~70 lines of code

    The post introduces a method to create MCP-powered agents in Python, highlighting a simplified setup for integrating external tools with large language models (LLMs). By using the Model Context Protocol (MCP), these agents can easily interact with various tools without custom integration. The guide details the setup and execution of such agents using the huggingface_hub, showcasing potential use cases and possible configurations. It emphasizes the role of the MCPClient in facilitating asynchronous connections to MCP servers, tool discovery, and execution.

  2. 2
    Article
    Avatar of javarevisitedJavarevisited·1y

    7 Best Udemy Courses to Learn Generative AI with ChatGPT, LangChain and Huggingface in 2025

    Generative AI is transforming industries by enabling the creation of text, images, music, code, and videos without requiring specialized expertise. Accessible platforms like Udemy offer courses to help individuals learn how to build and utilize these AI tools, such as ChatGPT, LangChain, and Huggingface, through practical, project-based learning. These courses are updated to keep pace with AI's rapid evolution, helping learners acquire foundational and advanced skills in AI creativity, engineering, and application development.

  3. 3
    Article
    Avatar of huggingfaceHugging Face·1y

    The Transformers Library: standardizing model definitions

    The Transformers library aims to be the central hub for model architectures across various frameworks, supporting over 300 models with consistent updates. It integrates with major training frameworks and inference engines, offering significant interoperability and efficiency. Efforts are underway to simplify model definitions and contributions to reduce complexity for model creators, enhancing ecosystem standardization.

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    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·1y

    Step-by-step Guide to Fine-tune Qwen3

    Alibaba has launched the next version of its large language model, Qwen 3. This tutorial guides readers on fine-tuning Qwen 3 using the Unsloth framework, employing techniques such as LoRA configuration, dataset preparation in conversational format, and step-by-step solutions for effective model training. The tutorial also includes running inference using the HuggingFace transformers library.

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