Hugging Face releases PP-OCRv6, a multilingual OCR model family
It offers three tiers from 1.5M to 34.5M parameters, supporting 50 languages with improved detection and recognition accuracy.
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In short: Hugging Face reached one million open datasets and expanded its robotics and agent ecosystem while addressing several security vulnerabilities.
It offers three tiers from 1.5M to 34.5M parameters, supporting 50 languages with improved detection and recognition accuracy.
The model predicts 3D point trajectories from video frames and action descriptions, outperforming existing methods.
The SDK enables a single agent to record, simulate, and deploy policies on real robots with one code change.
The model features 1M token context, improved coding, and open-source MIT license.
A flaw in Hugging Face Transformers could allow malicious AI models to execute code, exposing credentials and highlighting AI ...
ICRA 2026 is underway in Vienna, where a record 5,088 paper submissions and the rapid growth of Hugging Face’s LeRobot open-source robotics platform define Day...
Humanoid robots remain out of reach for most people due to their high cost...
Microsoft Threat Intelligence said Monday that attackers inserted malicious code into a Mistral AI...
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