# Web Deployment

Qwen3-0.6B is a lightweight large language model converted to ONNX format for web-based usage.

DepthPro is a vision model for depth estimation, capable of predicting scene depth information from a single image.

TimeSformer-HR is a video action recognition model optimized for high-resolution videos and fine-tuned on the Kinetics-600 dataset.

TimeSformer-HR is a high-resolution spatiotemporal Transformer model for video, fine-tuned on the Kinetics-400 dataset, suitable for video action recognition tasks.

TimeSformer is a Transformer-based video understanding model specifically optimized for temporal action recognition tasks.

TimeSformer is a Transformer-based video understanding model, specifically fine-tuned on the Kinetics-400 dataset.

OpenAI's open-source CLIP model, based on Vision Transformer (ViT) architecture, supporting joint understanding of images and text.

Large-scale image segmentation model based on Vision Transformer architecture, capable of generating high-quality object masks from input points

CLIP model developed by OpenAI, based on Vision Transformer architecture, supporting joint understanding of images and text

OpenAI's open-source CLIP model, based on Vision Transformer architecture, supporting cross-modal understanding of images and text

Whisper Tiny is a lightweight speech recognition model open-sourced by OpenAI, suitable for web deployment.

An end-to-end object detection model based on Transformer architecture, eliminating the need for anchor box designs in traditional object detection