As Arabic large language models (LLMs) develop rapidly, accurately evaluating model performance across different regional dialects has become a significant…
Google DeepMind has announced a new open-source large language model series called "T5Gemma." This release represents another significant milestone for Google…
Hugging Face recently published a feature article on "AI for Food Allergies" in its "Hugging Science" column. Food allergies are a global health concern…
In today's era dominated by generative AI and large language models (LLMs), bidirectional encoder models (such as BERT and RoBERTa) still play an indispensable…
The Hugging Face team and community have collaborated to launch a new evaluation benchmark called "FilBench," aimed at answering a key question: do large…
Hugging Face's "NLP Course" has long been a must-read classic for developers and researchers worldwide looking to enter the fields of Transformers and natural…
### What Are Static Embeddings? In today's NLP landscape, Transformer-based embedding models (such as BERT and mE5) have become the mainstream, as they…
Hugging Face has officially launched the "Open Leaderboard for Hebrew LLMs," an open-source evaluation platform specifically designed for Hebrew large language…
### Background and Challenges Sentiment analysis is one of the most classic tasks in natural language processing (NLP). However, traditional sentence-level…
This case study examines how Fetch, a leading consumer rewards platform in the United States, leveraged the collaboration between Amazon SageMaker and Hugging…
Hugging Face has announced a deep integration with fastText — the classic open-source natural language processing (NLP) library originally from Meta —…
The popular open-source topic modeling tool BERTopic has announced a deep integration with Hugging Face Hub. This update brings tremendous convenience to NLP…
This blog post from Hugging Face explores how machine learning (ML) can assist rescue workers in a race against time to save lives during natural disasters…
In the field of natural language generation (NLG), enabling language models to produce coherent and natural long-form text has long been a major challenge…
In the field of natural language processing (NLP), text embeddings — the technique of converting text into real-valued vectors — are a foundational technology…
SetFit (Sentence Transformer Fine-Tuning) is an efficient few-shot learning framework jointly developed by Hugging Face, Intel Labs, and UKP Lab. It is…
This Hugging Face blog post provides a detailed introduction to Nyströmformer, a Transformer variant designed to overcome the bottleneck of processing long…
This hands-on guide from the official Hugging Face blog provides a detailed walkthrough of how to use natural language processing (NLP) techniques to perform…
This classic blog post from Hugging Face is an essential introductory guide for understanding vector embeddings — the foundational technology underlying modern…
Hugging Face's "Director of Machine Learning Insights" series aims to capture the authentic perspectives of ML leaders across industries. In the third…
When working with structured data such as tables, traditional pre-trained models typically require crawling large amounts of real-world tables and related text…
Sempre Health is a healthcare technology company dedicated to improving patient medication adherence and drug affordability. They primarily interact with…
In this installment of Hugging Face's "Machine Learning Experts" interview series, the spotlight is on Lewis Tunstall, a senior machine learning engineer at…
In natural language generation (NLG) tasks, precisely controlling a model's output has always been a major challenge. Traditional decoding strategies like…
BERT (Bidirectional Encoder Representations from Transformers) is a landmark natural language processing (NLP) model proposed by Google in 2018. This Hugging…
This is a practical tutorial guide written by Hugging Face, designed to help developers and data scientists quickly get started with sentiment analysis using…
This blog post introduces the integration of Hugging Face's AutoNLP (now evolved into AutoTrain) with Prodigy, the popular data annotation tool developed by…
This article introduces DeepMind's Perceiver IO model and its integration into the Hugging Face Transformers library. Traditional Transformer models, while…
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…