Falcon-H1 is a causal decoder model developed by the UAE's Technology Innovation Institute, featuring a hybrid Transformer and Mamba architecture, supporting English and multilingual tasks.

Natural Language ProcessingTransformers

Falcon-H1 is a hybrid architecture language model developed by the UAE's Technology Innovation Institute, combining the strengths of Transformers and Mamba architectures, supporting multilingual processing.

Natural Language ProcessingTransformersMultiple Languages

Falcon H1 is a hybrid architecture language model developed by the UAE's Technology Innovation Institute, combining Transformer and Mamba architectures to support multilingual processing

Natural Language ProcessingTransformersMultiple Languages

This model is a logo recognition model fine-tuned based on Google's Vision Transformer (ViT), specifically designed for classifying UAE company logos.

Computer VisionTransformersEnglish

This is a merged model composed of multiple foundation models including bert-large-uncased, WhereIsAI/UAE-Large-V1, BAAI/bge-large-en-v1.5, mixedbread-ai/mxbai-embed-large-v1, and avsolatorio/GIST-large-Embedding-v0. It is primarily used for text classification, retrieval, and clustering tasks.

Natural Language ProcessingTransformers

Med42 70B is a medical assistant model created by UAE's M42 Health, specializing in text generation tasks in the healthcare domain.

Natural Language ProcessingGgufEnglish

Donut is an OCR-free document understanding Transformer model that combines a visual encoder and text decoder to process document images

MultimodalTransformers

A Wav2vec2 speech recognition model trained on audio segments of UAE dialect Arabic programs, suitable for speech-to-text tasks in UAE dialect.

Audio ProcessingTransformers