On Earth Day 2022, the Hugging Face official blog published this landmark article announcing a new feature on the Hugging Face Hub designed to address the…
In this installment of Hugging Face's "Machine Learning Experts" interview series, the spotlight is on Lewis Tunstall, a senior machine learning engineer at…
This in-depth interview explores the career trajectory, academic background, and vision for AI ethics held by Margaret Mitchell, Chief Ethics Scientist at…
Hugging Face has announced the launch of a new "AI Research Residency Program," an innovative initiative designed to democratize open-source AI research and…
In the field of computer vision, image search (also known as image-to-image search) is a core technology. Hugging Face's official blog provides a detailed…
In natural language generation (NLG) tasks, precisely controlling a model's output has always been a major challenge. Traditional decoding strategies like…
This is an official tutorial article from Hugging Face that guides developers on how to fine-tune a Vision Transformer (ViT) model for image classification…
This is a practical tutorial guide written by Hugging Face, designed to help developers and data scientists quickly get started with sentiment analysis using…
Hugging Face's official blog has announced a major upgrade to its platform's core feature — the search functionality of Hugging Face Hub. As the open-source AI…
Hugging Face has officially announced a deep integration with the popular PyTorch reinforcement learning (RL) library Stable-baselines3 (SB3). This…
With the rise of open-source large language models, deploying these models in cloud environments in a secure, stable, and scalable manner has become a critical…
On December 21, 2021, the open-source machine learning world received major news: Gradio, the open-source library purpose-built for rapidly creating…
This classic Hugging Face blog post documents the birth of the "CodeParrot" project — an experiment in training a code generation model entirely from scratch…
This blog post introduces the fruits of a collaboration between Hugging Face and hardware chip design company Graphcore, showcasing how to use Hugging Face's…
In late 2021, the AI field witnessed an unprecedented explosive growth in large language models (LLMs). From OpenAI's GPT-3 at 175 billion parameters to the…
This announcement comes from the official Hugging Face blog, published in October 2021, celebrating the launch of the Hugging Face Course along with an…
This classic Hugging Face blog post (co-authored by Sentence-Transformers creator Nils Reimers and others) provides a detailed account of how to train…
This blog post from the Hugging Face community provides a detailed walkthrough of how to fine-tune OpenAI's CLIP (Contrastive Language-Image Pre-training)…
The summer of 2021 was a vibrant and breakthrough season for Hugging Face. In this retrospective, Hugging Face summarizes the rich achievements produced over…
Hugging Face has officially launched a new open-source toolkit called "Optimum" — an optimization and hardware acceleration library designed specifically for…
Hugging Face officially announced a deep integration with spaCy, the popular industrial-grade natural language processing (NLP) framework, formally bringing…
Hugging Face and Amazon Web Services (AWS) have entered into a deep collaboration aimed at simplifying the deployment process of machine learning models from…
In the field of natural language processing (NLP), the emergence of GPT-3 demonstrated the tremendous power of "Few-shot Learning" — where a model only needs…
In May 2021, Gradio officially released version 2.0 and announced a deep integration with the Hugging Face platform. This collaboration fundamentally changed…
In many real-world enterprise production environments, although GPUs offer extremely high throughput for deep learning inference, CPUs remain indispensable due…
This technical guide, published by Hugging Face in 2021, details how to use Amazon SageMaker's managed infrastructure and distributed training capabilities to…
Hugging Face has officially announced a deep partnership with Amazon Web Services (AWS), aimed at natively integrating the Hugging Face Transformers platform…
This is a landmark technical tutorial published by the Hugging Face team in 2021, detailing how to fine-tune Meta AI's Wav2Vec2 model using the Hugging Face…
In the field of natural language processing (NLP), the core of standard Transformer models (such as BERT and GPT-2) is the self-attention mechanism. However…
Retrieval-Augmented Generation (RAG) is a powerful architecture that combines a "retriever" with a "generator." It enables language models to dynamically…