pixel
Explore an innovative language modeling approach with image-based text processing, removing fixed vocabulary limitations. This approach enables smooth language adaptation across different scripts. Pretrained with 3.2 billion words, this model surpasses BERT in handling non-Latin scripts. Utilizing components like a text renderer, encoder, and decoder, it reconstructs images at the pixel level, enhancing syntactic and semantic tasks. Access detailed pretraining and finetuning guidelines via Hugging Face for enhanced multilingual text processing.