# Web deployment

YOLOv9-C is an object detection model based on the YOLOv9 architecture, suitable for real-time detection of multiple objects in images.

A depth estimation model based on Transformers.js, adapted for ONNX weights version, used to predict depth information from images.

Small ONNX-format depth estimation model adapted for Transformers.js framework, suitable for web-based depth map prediction

Chinese CLIP model based on Vision Transformer architecture, supporting cross-modal understanding and generation between images and text.

Whisper-large-v3 is an open-source automatic speech recognition (ASR) model by OpenAI, supporting speech-to-text tasks in multiple languages.

Natural language inference model based on DeBERTa-v3 architecture, ONNX weight version adapted for Transformers.js