# English text understanding

Stable Diffusion 3.5 Large is a powerful text-to-image generation model based on diffusion model architecture, capable of producing high-quality images from text descriptions.

This model uses the BART-large architecture, trained on the MultiNLI dataset, and can be used for zero-shot text classification tasks.

ALBERT XXLarge v2 is a large language model pre-trained with masked language modeling objectives, featuring a parameter-shared Transformer architecture with 12 repeated layers and 223 million parameters.

ALBERT XLarge v2 is an English pretrained model based on the Transformer architecture, employing parameter-sharing mechanisms to reduce memory usage, trained with masked language modeling and sentence order prediction objectives.

ALBERT XLarge v1 is a large-scale language model pretrained on English corpora, utilizing a lightweight Transformer architecture with parameter sharing, focusing on masked language modeling and sentence order prediction tasks.

ALBERT Large v2 is a Transformer model pre-trained on English corpora with the masked language modeling (MLM) objective. It features parameter sharing.