Hugging Face reviews 2026 - PeerSpot

|Director/Enterprise Solutions Architect, Technology Advisor at Kyndryl|3.5|I've been using Hugging Face for AI projects and appreciate its versatility and user-friendliness. However, scalability with multi-GPU setups and data cleanup are challenges. I'm also exploring Langchain and Agentic AI to expand my knowledge.| |Student at Renater|4.5|As a student working on personal projects, I find Hugging Face's inference APIs valuable because they save time compared to running inferences locally. However, access to models and datasets could be improved for students and non-professionals.| |Artificial Intelligence Consultant at GlobalLogic|3.5|I primarily use Hugging Face for working with open LLM and embedding models to train and monitor custom data. While its valuable features include rich documentation, it would benefit from a search feature like ChatGPT to assist developers further.| … |Generative AI Developer at Rack Ai Private Limited|4.0|I used Hugging Face to create an SQL chatbot for translating English requests into SQL queries. It's open-source with many packages, but I found the module instructions lacking detail. We resolved code issues using OpenAI embeddings on one project.| |Machine Learning Engineer at TechMinfy|4.0|I use Hugging Face to fine-tune language models for clients due to its ease of use and access to trending open-source models. While improvements are needed in security and documentation, it significantly reduces costs compared to other solutions.|