Hugging face. It is best known for its Transformers library, which provides tools and pre-trained models for a wide range of NLP tasks, such as text classification, sentiment analysis, machine translation, and more. 3 days ago · Hugging Face has made its desktop robot, Reachy Mini, available for purchase. This article delves into what Hugging Face is, its features, tools, applications, and its influence on the AI landscape. Using pretrained models can reduce your compute costs, carbon footprint, and save you time from training a model from scratch. Give your team the most advanced platform to build AI with enterprise-grade security, access controls and dedicated support. Oct 23, 2024 · 一、 Hugging Face简介 Hugging Face（抱脸网）是一个知名的开源库和平台，该平台以其强大的Transformer模型库和易用的API而闻名，为开发者和研究人员提供了丰富的预训练模型、工具和资源。 对于从事AI研究的同学来说，其重要性不亚于GitHub（与GitHub一样，访问Hugging Face平台也要科学上网哟~）。以下是对 Jan 10, 2024 · Explore the Hugging Face documentation and tutorials: If you want to learn more about the Hugging Face platform and its features, you can check out the documentation and tutorials. Jan 25, 2025 · Hugging Face simplifies machine learning and natural language processing with pre-trained models, tools, and an active community. Using the Hugging Face API, we can easily interact with various pre-trained models for tasks like text generation, translation, sentiment analysis, etc. The Hub has support for dozens of libraries in the Open Source ecosystem. The HopeJR will compete with Unitree's G1 and other early offerings. Feb 11, 2025 · Hugging Face is a leading AI platform known for its open source tools and model repositories. Hugging Face Video Tutorial Before moving, let us Jul 13, 2023 · Hugging Face has revolutionized natural language processing. The Hugging Face Hub is a platform with over 1. It provides hundreds of pretrained and open source models for dozens of different domains—from natural language processing to computer vision. Hugging Face Email FormsRegister now for the Hugging Face Agents Course 🤗! In this free course, you will: 📖 Learn the basics of Agents from scratch. The table below summarizes the Fine-tuning adapts a pretrained model to a specific task with a smaller specialized dataset. Hugging Face is the ultimate resource for machine learning engineers and AI developers. A wireless version (Reachy Mini Wireless) costs $449 and runs on a Raspberry Pi 5 minicomputer, while the Reachy Hugging Face Natural Language Processing (NLP) Software We’re on a journey to solve and democratize artificial intelligence through natural language. The Hub supports many libraries, and we’re working on expanding this support. Now, it has aspirations—and $100 million in fresh dry powder—to be the GitHub of machine learning. Once you give your Google Colab notebook access to the token, it can be used by Hugging Face libraries to interact with the Hugging Face Hub. With over thousands of models hosted on their Model Hub, Hugging Face is a key player in Jul 5, 2023 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. This approach requires far less data and compute compared to training a model from scratch, which makes it a more accessible option for many users. Learn how it fits into your AI learning journey. The Hugging Face Hub is home to a growing collection of datasets that span a variety of domains and tasks. Mar 10, 2025 · Hugging Face is an online platform dedicated to data science and machine learning. Learn how it revolutionizes machine learning and AI development. Originally created as a chatbot company, it pivoted to focus on machine learning, particularly in Hugging Face is a company that maintains a huge open-source community of the same name that builds tools, machine learning models and platforms for working with artificial intelligence, with a focus on data science, machine learning and natural language processing (NLP). You can browse datasets, train AI models, share your work, and collaborate with others as you do so. This allows you to create your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the ML ecosystem. Known for its extensive set of tools and its sprawling ecosystem, Hugging Face helps simplify developing, training, and deploying machine learning models. Jul 11, 2025 · Welcome to the huggingface_hub library The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. Transformers provides the Trainer API, which offers a comprehensive set of training features, for fine-tuning any of the models on the Hub. The Hub works as a central place where anyone can explore, experiment, collaborate, and build technology with Machine Learning. ChatGPT Let’s dive into the delightful journey of Hugging Face! 🚀 So, picture this: back in 2016, three passionate friends—Clément Delangue, Julien Chaumond, and Thomas Wolf—came together, united by their love for artificial intelligence and natural language processing. By offering accessible tools and models, Hugging Face allows practitioners of various levels to tap into the potential of transformers without needing extensive computational resources or deep expertise in machine learning. This platform is tailored to accommodate novice and experienced AI practitioners, providing tools and resources that streamline the development process. This article will focus more on the Model Hub and the Community, where most work happens. Beyond advanced learning resources and community features, it offers the transformer library: a collection of ready-to-use APIs for all AI models on the platform, easily accessible by writing a few lines of code Mar 29, 2025 · Learn how to run Hugging Face models locally with a step-by-step guide, performance optimization tips, and best practices Sep 24, 2023 · In this article, you will discover Hugging Face, the library that's shaking up the world of Deep Learning. Hugging Face Hub 是分享机器学习模型、演示、数据集和指标的首选之地。 huggingface_hub 库帮助您在不离开开发环境的情况下与 Hub 互动。 Jun 19, 2025 · Hugging Face simplifies AI and machine learning by providing user-friendly tools, pre-trained models, and accessible libraries for tasks like sentiment analysis, text generation, and speech-to-text. As a company and as a community, it has fundamentally changed the way developers, researchers, and data scientists approach these domains. 🕵️ Build your own Agents using the latest libraries and tools. HuggingFace is the platform where the AI community collaborates on models, datasets, research papers and applications. The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. The Model Hub is where the members of the Hugging Face community can host all of their model checkpoints for simple storage, discovery, and sharing. 🤗 Transformers provides APIs to easily download and train state-of-the-art pretrained models. Checkout the syllabus, prerequisites, and details on this Hugging Face Hub Organization 🏡 https Oct 23, 2024 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. May 14, 2025 · The Hugging Face platform is a major player in artificial intelligence (AI), especially for those working on natural language processing (NLP) and machine learning (ML). Hugging Face is an online community where people can team up, explore, and work together on machine-learning projects. Plus, you’ll find a 3 days ago · Hugging Face has made its desktop robot, Reachy Mini, available for purchase. is an American company based in New York City that develops computation tools for building applications using machine learning. Oct 4, 2024 · Introduction to Hugging Face Hugging Face is a company known for its open-source tools and libraries, with the most notable being the Transformers library. As the Hugging Face platform is essential for world technology breakthroughs, we should understand more about the Hugging Face Hub platform. Teaching Data Literacy with Hugging Face's AI Sheets Automated Discovery of High-Performance GPU Kernels with OpenEvolve Common Pitfalls in Sharing Open Source Models on Hugging Face (and How to Dodge Them) DeepSeek-R1 Dissection: Understanding PPO & GRPO Without Any Prior Reinforcement Learning Knowledge HF直播 AI for Science 由 Hugging Face × OpenMMLab × ModelScope × 知乎 × 机智流等 联合发起的【AI Insight Talk】系列直播活动第三场：AI for Science 即将开始！ 📅 直播时间：2025 年 7 月 17 日（ 周四 ）19:30… Everything you need to know about using the tools, libraries, and models at Hugging Face—from transformers, to RAG, LangChain, and Gradio. Deploy on optimized Inference Endpoints or update your Spaces applications to a GPU in a few clicks. If that sounds like something you should be doing, why don't you join us! For press enquiries, you can ️ contact our team here. These docs will guide you through interacting with the datasets on the Hub, uploading new datasets, exploring the datasets contents, and using datasets in your projects. Hugging Face Hub 是一个平台，拥有超过 90 万个模型、20 万个数据集和 30 万个演示应用 (Spaces)，所有这些都是开源且公开可用的，在一个在线平台上，人们可以轻松地协作并共同构建 ML。 Hub 作为一个中心场所，任何人都可以探索、实验、协作并使用机器学习构建技术。 您准备好加入开源机器学习的 Hugging Face is an innovative technology company and community at the forefront of artificial intelligence development. These docs will take you through everything you’ll need to know to find models on the Hub Join the Hugging Face community Transformers acts as the model-definition framework for state-of-the-art machine learning models in text, computer vision, audio, video, and multimodal model, for both inference and training. Jul 4, 2024 · Learn how to use Hugging Face with this comprehensive guide. The Hugging Face Hub is a platform with over 350,000 models, 75,000 datasets and 150,000 demo apps which are all free to use. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning. Hugging Face’s Inference Providers give developers access to hundreds of machine learning models, powered by world-class inference providers. We are building the foundation of ML tooling with the community. 7M models, 400k datasets, and 600k demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together. The company first unveiled prototypes for the small-scale robots in May, alongside its larger humanoid robot HopeJR. 20 hours ago · The AI community building the future. The Hugging Face course on Transformers. Oct 25, 2024 · Hugging Face is one of the best platforms for machine learning, and artificial intelligence (AI) models. May 30, 2025 · Want a humanoid, open source robot for just $3,000? Hugging Face is on it. 👋 Hi! We are on a mission to democratize good machine learning, one commit at a time. Models are stored in repositories, so they benefit from all the features possessed by every repo on the Hugging Face Hub. Join the Hugging Face community State-of-the-art Machine Learning for PyTorch, TensorFlow and JAX. Jul 11, 2025 · Hugging Face is a community where people can work together on machine learning (ML) projects. Learn best practices and get started today! We’re on a journey to advance and democratize artificial intelligence through open source and open science. Hugging Face Hub is a cool place with over 350,000 models, 75,000 datasets, and 150,000 demo apps, all free and open to everyone. Merve Noyan is a developer advocate at Hugging Face, working on developing tools and building content around them to democratize machine learning for everyone. For example, distilbert/distilgpt2 shows how to do so with 🤗 Transformers We’re on a journey to advance and democratize artificial intelligence through open source and open science. Nov 17, 2023 · Enter: Hugging Face, a game-changer in machine learning and natural language processing and a key agent in the democratization of AI. For accessing models and datasets from the Hugging Face Hub (both read and write) inside Google Colab, you’ll need to add your Hugging Face token as a Secret in Google Colab. Dec 8, 2023 · Hugging Face is a company that equips AI researchers, developers, and enthusiasts with tools to use, build, and share machine learning models. Are you ready to join the path towards open Making the community's best AI chat models available to everyone. Hugging Face 是一家美国公司，专门开发用于构建 机器学习 应用的工具。 该公司的代表产品是其为 自然语言处理 应用构建的 transformers 库，以及允许用户共享机器学习模型和 数据集 的平台。 Jun 30, 2025 · Hugging Face has become a prominent player in the field of Natural Language Processing (NLP), providing a range of pre-trained models that can be used in different applications. You can also create and share your own models, datasets and demos with the community. HuggingFace Spaces This article will explore the Various Aspects of HuggingFace Spaces, from getting started to Join the Hugging Face community 🤗 transformers is a library maintained by Hugging Face and the community, for state-of-the-art Machine Learning for Pytorch, TensorFlow and JAX. Sep 23, 2024 · You: Tell me the story of how huggingface came to be. Apr 9, 2025 · HuggingFace Spaces is a comprehensive ecosystem designed to facilitate creating, sharing, and deploying machine learning models. Additionally, model repos have attributes that make exploring and using models as easy as possible. They are also integrated into our client SDKs (for JS and Python), making it easy to explore serverless inference of models your favorite providers. The AI community building the future. Hugging Face has 334 repositories available. It is changing how companies use NLP models by making them accessible to everyone 👏 The Hugging Face Hub hosts many models for a variety of machine learning tasks. The Hugging Face Hub is a platform with over 900k models, 200k datasets, and 300k demos in which people can easily collaborate in their ML workflows. May 29, 2025 · Hugging Face hopes to start shipping two new open-source humanoid robots by the end of 2025. Models, Spaces, and Datasets are hosted on the Hugging Face Hub as Git repositories, which means that version control and collaboration are core elements of the Hub. Hugging Face is a company and open-source community that focuses on Natural Language Processing (NLP) and Artificial Intelligence (AI). Join the Hugging Face community Transformers acts as the model-definition framework for state-of-the-art machine learning models in text, computer vision, audio, video, and multimodal model, for both inference and training. Oct 23, 2024 · Explore Hugging Face: a comprehensive guide on how to use the platform for NLP, types of models, training, datasets, and advanced features. 探索任何机器学习任务的演示、模型和数据集 Dec 12, 2024 · Learn what Hugging Face is, how it makes AI development accessible to everyone, and how to get started with our hands-on guide and tutorial. Thanks to transfer learning, it is playing a crucial role in making AI more accessible. The huggingface We’re on a journey to advance and democratize artificial intelligence through open source and open science. 探索任何机器学习任务的演示、模型和数据集 Transformers is more than a toolkit to use pretrained models, it's a community of projects built around it and the Hugging Face Hub. Hugging Face has become a buzzword in the realms of artificial intelligence, machine learning, and natural language processing. They’re also the creators of the popular transformers library (and many more helpful libraries) which is a Python-based library for working with pre-trained models as well as custom models. Gradio was eventually acquired by Hugging Face. We want Transformers to enable developers, researchers, students, professors, engineers, and anyone else to build their dream projects. Let's go open science and open-source! Hugging Face Generative AI Services (HUGS) are optimized, zero-configuration inference microservices designed to simplify and accelerate the development of AI applications with open models. They provide detailed information and guidance on how to use the tools and resources that Hugging Face offers. In this article, we are going to discuss how to use the Hugging Face API with simple steps and examples. Built on open-source Hugging Face technologies such as Text Generation Inference or Transformers. Mar 10, 2025 · The beauty of Hugging Face is its democratization of AI technology. Contribute to huggingface/course development by creating an account on GitHub. Apr 21, 2025 · That’s why Hugging Face has become a place to contribute to and showcase many machine learning works. Mar 10, 2025 · A Blog post by Vladislav Guzey on Hugging Face Join the Hugging Face community Transformers is a library of pretrained natural language processing, computer vision, audio, and multimodal models for inference and training. We’re happy to welcome to the Hub a set of Open Source libraries that are pushing Machine Learning forward. They envisioned a future where AI […] Org profile for Hugging Face Agents Course on Hugging Face, the AI community building the future. May 9, 2025 · Top 12 Open Source Models on HuggingFace in 2024 featuring cutting-edge advancements in NLP, vision, audio, and multimodal technologies. Partners Our platform integrates with leading AI infrastructure providers, giving you access to their Feb 7, 2025 · Discover Hugging Face, a leading AI platform for NLP models and tools. Run 🤗 Transformers directly in your browser, with no need for a server! Train transformer language models with reinforcement learning. For information on accessing the model, you can click on the “Use in Library ” button on the model page to see how to do so. This library allows you to easily access pre-trained models for tasks like text classification, summarization, machine translation, and more. The platform allows developers to leverage these Discover amazing things to do with AI We’re on a journey to advance and democratize artificial intelligence through open source and open science. 加速访问Hugging Face的门户。作为一个公益项目，我们致力于提供稳定、快速的镜像服务，帮助国内用户无障碍访问Hugging Face的资源。 We’re on a journey to advance and democratize artificial intelligence through open source and open science. 7M models, 400k datasets, and 600k demos in which people can easily collaborate in their ML workflows. These models are part of the HuggingFace Transformers library, which supports state-of-the-art models like BERT, GPT, T5, and many others. Discover pre-trained models and datasets for your projects or play with the thousands of machine learning apps hosted on the Hub. This article will discuss the fundamentals of Sep 13, 2023 · Discover Hugging Face, an AI company renowned for its Transformers library, offering cutting-edge models for diverse natural language processing tasks. Thanks to the huggingface_hub Python library, it’s easy to enable sharing your models on the Hub. According to Hugging Face, two versions of Reachy Mini will be available to customers. Download pre-trained models with the huggingface_hub client library, with 🤗 Transformers for fine-tuning and other usages or with any of the over 15 integrated libraries. Use Transformers to train models on your data, build inference applications, and generate text with large language models. . 🎓 Earn a certificate of completion to showcase your achievement. Hugging Face, Inc. Jun 8, 2024 · Hugging Face is a platform that offers access to many different kinds of open-source machine learning models and datasets. Follow their code on GitHub. If we need to do tasks like text classification, sentiment analysis, machine translation or any other NLP task, Hugging Face's pre-trained models make it easier for us. We’re on a journey to advance and democratize artificial intelligence through open source and open science. May 9, 2022 · Newly valued at $2 billion, the AI 50 debutant originated as a chatbot for teenagers. From setting up your environment to fine-tuning and deploying models, Join the Hugging Face community If a model on the Hub is tied to a supported library, loading the model can be done in just a few lines. This documentation focuses on the datasets functionality in the Hugging Face Hub and how to use the datasets with Hugging Face Spaces offer a simple way to host ML demo apps directly on your profile or your organization’s profile. Discover amazing ML apps made by the community Dec 31, 2024 · Discover how to leverage Hugging Face’s powerful AI platform for your projects, from basic setup to practical applications — no advanced… Join Hugging Face, the AI community shaping the future, and collaborate with others on innovative projects and ideas. HuggingFace ModelsHuggingFace Models is a prominent platform in the machine learning community, providing an extensive library of pre-trained models for various natural language processing (NLP) tasks. Lucile Saulnier is a machine learning engineer at Hugging Face, developing and supporting the use of open source tools. In a nutshell, a repository (also known as a repo) is a place where code and assets can be stored to back up your work, share it with the community, and work in a team. May 19, 2021 · To download models from 🤗Hugging Face, you can use the official CLI tool huggingface-cli or the Python method snapshot_download from the huggingface_hub library. It provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. nph lwiuzl uijs fibmuu wzx fsb znl vfcavk ijnzs dzuthu