Decision Transformer (DT) is an innovative architecture that reframes reinforcement learning (RL) as a sequence modeling problem. Traditional reinforcement…
With breakthroughs in AI protein structure prediction technologies such as AlphaFold 2 and Meta's ESMFold, AI for Science has become one of the hottest…
This technical blog post from Hugging Face provides a detailed guide on how to use Intel's Habana Gaudi accelerators (HPUs) for BERT model pre-training. As…
This technical tutorial from the official Hugging Face blog provides a detailed walkthrough of how to deploy the popular computer vision model ViT (Vision…
This technical guide from Hugging Face provides a detailed walkthrough of how to deploy the popular Vision Transformer (ViT) model onto a Kubernetes (K8s)…
In the fields of artificial intelligence and computer vision, collecting high-quality, labeled image datasets is typically a time-consuming and tedious task…
This Hugging Face blog post provides a detailed introduction to Nyströmformer, a Transformer variant designed to overcome the bottleneck of processing long…
This Hugging Face technical blog post takes an in-depth look at how to use TensorFlow's XLA (Accelerated Linear Algebra) compiler to dramatically speed up the…
This is an official technical guide published by Hugging Face, designed to help developers deploy TensorFlow computer vision models from the Hugging Face Hub…
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 article is Unit 3 of Hugging Face's free Deep Reinforcement Learning course, covering the topic of Deep Q-Learning (DQN). In traditional Q-Learning, we…
This classic blog post from Hugging Face, "The Annotated Diffusion Model," is an essential guide for learning about generative AI image synthesis. Modeled…
### What is CLIPDraw? CLIPDraw is a technique that uses OpenAI's CLIP model to guide the drawing of images through vector strokes (Bezier curves). Unlike…
In May 2022, Hugging Face — the leading open-source AI community — and Graphcore, the UK-based AI chip design company, jointly announced the launch of a new…
This blog post is the second part (hands-on edition) of the Q-Learning section in Hugging Face's Deep Reinforcement Learning Class. The article aims to…
Hugging Face and Intel's Habana Labs have officially announced a partnership aimed at providing the community with more efficient and cost-effective solutions…
This classic blog post from Hugging Face examines the tension between software engineering principles and the demands of machine learning (ML) research…
Hugging Face has announced official support for the Decision Transformer (DT) in its renowned `transformers` library. This represents a new paradigm that…
This practical tutorial from Hugging Face provides a detailed guide on how to fine-tune the SegFormer model on a custom dataset for semantic segmentation…
When deploying large language models such as BERT in production environments, inference latency and computational cost are often two major pain points for…
BERT (Bidirectional Encoder Representations from Transformers) is a landmark natural language processing (NLP) model proposed by Google in 2018. This Hugging…
In the field of automatic speech recognition (ASR), Wav2Vec2 is a revolutionary model, but it faces a significant challenge when processing long audio files…
This case study focuses on the performance of "Hugging Face Infinity" — Hugging Face's high-performance inference container solution — on modern CPUs…
This technical blog post from Hugging Face introduces how combining n-gram language models (LMs) can significantly improve the performance of Wav2Vec2…
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…
Hugging Face announced the launch of its first custom virtual environment built on Unity ML-Agents: "Snowball Fight." This marks Hugging Face's formal…
While GPUs dominate deep learning training today, a collaboration between Intel and Hugging Face demonstrates that through software and hardware optimization…
Automatic speech recognition (ASR) has achieved remarkable success for resource-rich languages such as English and standard Mandarin, but building…
This blog post is the second part of a technical guide co-authored by Hugging Face and Intel, designed to show developers how to push the inference performance…