InternLM-20B is a 20-billion-parameter pretrained model jointly released by Shanghai AI Laboratory, SenseTime, The Chinese University of Hong Kong, and Fudan University. Pretrained on over 2.3T high-quality Chinese-English and code token data, it demonstrates outstanding comprehensive performance and powerful tool-calling capabilities.

Natural Language ProcessingTransformers

Deformable DETR is an end-to-end object detection model that improves detection performance using Transformer architecture and deformable attention mechanisms.

Computer VisionTransformers

The Deformable DETR single-scale model, designed for object detection tasks, employs end-to-end training and demonstrates excellent performance on the COCO 2017 dataset.

Computer VisionTransformers

Deformable DETR is an end-to-end object detection model that combines the advantages of Transformer architecture and deformable convolution, achieving efficient object detection on the COCO dataset.

Computer VisionTransformers

Deformable DETR is a Transformer-based object detection model that enables end-to-end training through bounding box refinement and two-stage detection, suitable for the COCO dataset.

Computer VisionTransformers

Deformable DETR is an end-to-end object detection model that combines the advantages of Transformer architecture and deformable convolution, trained on the COCO dataset.

Computer VisionTransformers