Intel

Image-to-text models that have been validated to run on the AI PC Intel® Core™ Ultra CPU and iGPU.

DPT 3.0 (MiDaS) models, leveraging ViT and ViT-hybrid backbones

Smaller BERT models for question answering and text classification

DeBERTa is a language model that originates from Meta's RoBERTa model with disentangled attention and enhanced mask decoder.

Fine-tuned version of Microsoft's MiniLM models, trained on the GLUE MRPC dataset.

Large scale information retrieval corpus that was created based on real user search queries using Bing search engine

DPT 3.1 (MiDaS) models, leveraging state-of-the-art vision backbones such as BEiT and Swinv2

BERT models of varying flavors

Quantized versions of ALBERT models for language tasks