Transformers

Evidence (5)

• 8NVIDIA Blog·6/2/2026breakthrough
  Banks Turn to Transaction Foundation Models for Unified Financial Intelligence

  NVIDIA says financial institutions are increasingly adopting transaction foundation models to replace fragmented, task-specific AI systems with a unified view of customer behavior. The article highlights Revolut’s PRAGMA and Mastercard’s large tabular foundation model as examples of transformer-based models trained on proprietary transaction data, with NVIDIA providing infrastructure and developer tooling to support adoption.

• 5Hugging Face Blog·5/18/2026framework_update
  PaddleOCR 3.5 Adds Transformers Backend for OCR and Document Parsing

  PaddleOCR 3.5 introduces a Transformers-based backend for running OCR and document parsing tasks. The update aims to improve flexibility for developers using the PaddleOCR stack across text extraction and document understanding workflows.

• 4Hugging Face Blog·4/23/2026open_source
  Using Transformers.js in a Chrome Extension

  The article explains how to integrate Transformers.js into a Chrome extension so machine learning models can run directly in the browser. It focuses on a practical developer workflow for building extension-based AI features without relying on a separate server.

• 5Hugging Face Blog·2/26/2026research
  Mixture of Experts in Transformers

  This article explains Mixture of Experts (MoE) as a technique used in Transformer models to improve efficiency by activating only a subset of parameters for each input. It outlines how MoE layers work, their benefits, and the trade-offs involved in training and serving these models at scale.

• 5Hugging Face Blog·2/9/2026framework_update
  Transformers.js v4 Lands on NPM

  Hugging Face announced Transformers.js v4, making the JavaScript library available on NPM. The release expands access for developers building machine learning and AI features in browser and Node.js environments.