This technical blog post from Hugging Face documents in detail the practical process of optimizing inference for BLOOM, the open-source multilingual large…
Hugging Face officially announced the introduction of a DOI (Digital Object Identifier) mechanism for models and datasets hosted on the Hugging Face Hub. This…
In October 2022, Stability AI officially released "Japanese Stable Diffusion," a model specifically designed for the Japanese market and culture, hosted on the…
In late 2022, as massive language models like BLOOM and OPT emerged one after another, the AI community faced a core pain point: how to effectively and…
As the parameter counts of large language models (LLMs) grow exponentially, how to load and run these models on limited hardware has become a major pain point…
SetFit (Sentence Transformer Fine-Tuning) is an efficient few-shot learning framework jointly developed by Hugging Face, Intel Labs, and UKP Lab. It is…
Hugging Face, the leading organization in the global open-source AI community, officially launched the first issue of its Ethics and Society Newsletter. The…
BLOOM is a massive open-source multilingual model with 176 billion parameters. Running BLOOM at FP16 precision requires at least 352 GB of video memory (VRAM)…
Hugging Face published a major update and progress report on their diffusion model library `diffusers`, two months after its launch. Since its release in July…
Decision Transformer (DT) is an innovative architecture that reframes reinforcement learning (RL) as a sequence modeling problem. Traditional reinforcement…
As language model scales continue to expand, the memory (VRAM) of a single GPU has long been unable to accommodate models with tens or hundreds of billions of…
Against the backdrop of rapid AI advancement, how to balance "openness" with "safety risks" has become a central question for the community. Traditional…
With the open-sourcing of Stable Diffusion, running powerful AI image generation models locally has become a real possibility. This guide published by…
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 classic blog post published in August 2022 marks a major milestone in the open-source AI image generation space. Hugging Face announced a collaboration…
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 in-depth technical blog post from Hugging Face focuses on how to efficiently deploy and fine-tune Vision Transformer (ViT) models on Graphcore's IPU…
This article introduces the deep integration between Hugging Face and the bitsandbytes library, aimed at solving the enormous memory challenges posed by…
Although Hugging Face originally got its start with PyTorch at its core (formerly known as `pytorch-transformers`), as the community grew, they recognized the…
Hugging Face announced the launch of a new open-source Python library called "Skops," designed to bring the collaborative and sharing ecosystem of the Hugging…
This technical guide from Hugging Face provides a detailed walkthrough of how to deploy the popular Vision Transformer (ViT) model onto a Kubernetes (K8s)…
This blog post from Replicate, published in August 2022, is a brief community event invitation announcing an event called "Uncanny Spaces." The core purpose of…
This is a practical guide authored by Hugging Face, aimed at teaching developers how to train and fine-tune Sentence Transformers models to generate…
Proximal Policy Optimization (PPO) is a deep reinforcement learning (DRL) algorithm proposed by OpenAI in 2017. Due to its ease of implementation, training…
In the fields of artificial intelligence and computer vision, collecting high-quality, labeled image datasets is typically a time-consuming and tedious task…
Hugging Face announced the launch of the "Private Hub," a new solution designed for enterprises and teams that addresses the pressing needs of data privacy…
This Hugging Face blog post provides a detailed introduction to Nyströmformer, a Transformer variant designed to overcome the bottleneck of processing long…
In 2022, Hugging Face submitted formal written comments in response to the U.S. government's planned interim report on the National AI Research Resource…
Hugging Face announced new official Audio and Vision documentation guides for its core open-source library `datasets`. As multimodal AI models continue to…