60 stories tagged Hugging Face · page 3 of 3
Hugging Face is updating its Open ASR Leaderboard to prevent overfitting by adding a new metric. This change aims to ensure models perform well on real-world data, not just on benchmarks.
DeepInfra is now part of Hugging Face's Inference Providers, making it easier to deploy AI models. This collaboration simplifies running models for developers and researchers.
Evaluating AI models is now more expensive than training them, creating a bottleneck in open-source development. This shift highlights the growing importance of efficient evaluation frameworks.
Hugging Face has ported its Transformers library to MLX, enabling faster AI model inference on Apple Silicon. This move aims to leverage Apple's neural engine for enhanced performance.
Hugging Face has released a tutorial on integrating Transformers.js into Chrome extensions. This enables developers to leverage advanced AI models directly in browser-based applications.
Hugging Face introduces QIMMA, a quality-focused leaderboard for Arabic LLMs. It aims to highlight models that excel in both performance and cultural relevance.
NVIDIA has open-sourced a new OCR model that supports multiple languages and leverages synthetic data for training. The model is designed for speed and accuracy in text recognition tasks.
Hugging Face has published a comprehensive guide on training and fine-tuning multimodal embedding and reranker models using Sentence Transformers. This resource is aimed at developers looking to enhance their multimodal applications with state-of-the-art techniques.
Hugging Face has released OpenClaw, an open-source framework designed to streamline AI model training and deployment. The tool aims to democratize access to advanced AI capabilities.
Hugging Face's Spring 2026 report highlights a 40% increase in open-source AI models. The platform now hosts over 500,000 models, with significant contributions from both academia and industry.
Hugging Face has released new multimodal embedding and reranker models via Sentence Transformers. These models enable advanced cross-modal retrieval and ranking capabilities.
Holo3 breaks the computer use frontier with its open-source release. This innovation is set to revolutionize the way we interact with computers.