We’re excited to announce that Transformers.js v4 is now available on NPM! After a year of development (we started in March 2025 🤯), we’re finally ready for you to use it. npm i @huggingface/transformers Performance & Runtime Improvements The biggest change is undoubtedly the adoption of a new WebGPU Runtime, completely rewritten in C++. We’ve worked closely with the ONNX Runtime team to thoroughly test this runtime across our ~200 supported model architectures, as well as many new v4-exclusive architectures. […]

We’re releasing TRL v1.0, and it marks a real shift in what TRL is. What started as a research codebase has become a dependable library people build on, with clearer expectations around stability. This isn’t just a version bump. It reflects the reality that TRL now powers production systems, and embraces that responsibility. TRL now implements more than 75 post-training methods. But coverage isn’t the goal by itself. What matters is making these methods easy to try, compare, and actually […]

Today we’re excited to announce Granite 4.0 3B Vision, a compact vision-language model (VLM) designed for enterprise document understanding. It’s purpose-built for reliable information extraction from complex documents, forms, and structured visuals. Granite 4.0 3B Vision excels on the following capabilities: Table Extraction: Accurately parsing complex table structures (e.g., multi-row, multi-column, etc.) from document images Chart Understanding: Converting charts and figures into structured machine-readable formats, summaries, or executable code Semantic Key-Value Pair (KVP) Extraction: Identifying and grounding semantically meaningful key-value […]

TL;DR — Falcon Perception is a 0.6B-parameter early-fusion Transformer for open-vocabulary grounding and segmentation from natural language prompts. The model processes image patches + text in one sequence using a hybrid attention mask, and produces variable numbers of instances with a small, structured token interface and lightweight output heads. On SA-Co, Falcon Perception reaches 68.0 Macro-F1 (vs. 62.3 for SAM 3) with the main remaining gap being presence calibration (MCC 0.64 vs. 0.82). We also introduce PBench, a diagnostic benchmark […]

We are proud to unveil Holo3, the latest evolution of our vision for the Autonomous Enterprise. With a score of 78.85% on the OSWorld-Verified benchmark, Holo3 establishes a new state of the art for the industry on the leading desktop computer use benchmark. Holo3 is more than a benchmark leader; it is engineered for production. Built using our agentic flywheel, it has been trained to execute real-world workflows within synthetic enterprise environments. This not only ensures that Holo3 excels in […]

The Gemma 4 family of multimodal models by Google DeepMind is out on Hugging Face, with support for your favorite agents, inference engines, and fine-tuning libraries 🤗 These models are the real deal: truly open with Apache 2 licenses, high quality with pareto frontier arena scores, multimodal including audio, and sizes you can use everywhere including on-device. Gemma 4 builds on advances from previous families and makes them click together. In our tests with pre-release checkpoints we have been impressed […]