A Blog post by PaddlePaddle on Hugging Face

HuggingFace's platform is a resource for developers and researchers working in natural language processing (NLP) and machine learning, offering insights into NLP models, tools, and datasets. Through articles, tutorials, and open-source projects, HuggingFace offers insights into state-of-the-art NLP techniques, transformer architectures, and transfer learning methods. Developers can learn about using pre-trained models, fine-tuning strategies, and deploying NLP applications with HuggingFace's libraries and APIs.

Hugging Face

PP-OCRv6 is the latest PaddleOCR model family for real-world text detection and recognition, scaling from 1.5M to 34.5M parameters across tiny, small, and medium tiers. The medium and small models support 50 languages including Chinese, Japanese, and 46 Latin-script languages. Key architectural improvements include RepLKFPN for multi-scale text detection and EncoderWithLightSVTR for recognition. Compared to PP-OCRv5_server, the medium tier improves detection Hmean by +4.6 points and recognition accuracy by +5.1 points. Models are available on Hugging Face Hub in safetensors, Paddle inference, and ONNX formats, with support for Transformers, ONNX Runtime, and Paddle Inference backends.

PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters