With the rapid growth of voice AI (such as Whisper), efficiently handling audio datasets has become critically important. This guide from the official Hugging…
As large language models (LLMs) and generative AI exploded in popularity, demand for computing power surged dramatically, leaving Nvidia GPUs (such as the…
In December 2022, Elixir language creator José Valim and Hugging Face jointly announced a transformative project for the Elixir community: Bumblebee. The…
The release of ChatGPT in late 2022 triggered an explosion in generative AI, and the most critical technology behind it is Reinforcement Learning from Human…
### The Rise of Protein Deep Learning Following the success of AlphaFold 2, artificial intelligence has achieved a revolutionary breakthrough in structural…
This Hugging Face blog article introduces how to use the `TimeSeriesTransformer` in the `transformers` library for "Probabilistic Time Series Forecasting."…
In late 2022, Apple and Hugging Face jointly announced that Stable Diffusion had officially gained support for Apple Silicon's Core ML framework. This update…
In late 2022, while continuous-space diffusion models represented by Stable Diffusion were stealing the spotlight, diffusion models operating in discrete space…
The well-known open-source artificial intelligence platform Hugging Face announced on its official blog the launch of its 2023 internship recruitment program…
This blog post is an event announcement published by Hugging Face in November 2022, announcing the "Diffusion Models Live Event." In the second half of 2022…
"Document AI" is a key driver of enterprise digital transformation in recent years, aimed at automating the processing of unstructured documents such as…
As the world's largest open-source AI model hub, Hugging Face not only provides model hosting but has also built a complete inference ecosystem. This article…
Hugging Face has announced a deep partnership with arXiv — the world's largest open academic paper platform — officially integrating Hugging Face Spaces…
As privacy awareness grows and regulations tighten, performing inference with cloud AI models while protecting user privacy has become a significant challenge…
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…
Hugging Face officially announced a new platform pricing structure, designed to provide more flexible and affordable options for community members…
OpenAI's Whisper is a powerful automatic speech recognition (ASR) model. While its zero-shot capabilities are impressive, there remains significant room for…
As Transformer models become increasingly prevalent in natural language processing (NLP) and computer vision (CV), efficiently deploying these large models in…
As large language models (LLMs) become widely used across various domains, the issues of bias and toxicity in model outputs have received increasing attention…
This classic technical blog post from Hugging Face systematically guides developers in understanding and mastering distributed training techniques within the…
In the field of natural language processing (NLP), text embeddings — the technique of converting text into real-valued vectors — are a foundational technology…
Hugging Face Inference Endpoints is a fully managed service designed for developers and enterprises, built to solve the pain points of deploying machine…
Hugging Face officially announced support for Stable Diffusion models using the JAX and Flax frameworks in its renowned `diffusers` library. This update is a…
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…