# Browser-side Deployment

A lightweight zero-shot object detection model in ONNX format, compatible with Transformers.js, suitable for browser-side deployment.

Moonshine Tiny is a lightweight automatic speech recognition (ASR) model suitable for embedded devices and edge computing scenarios.

This is the ONNX format conversion of Microsoft's SpeechT5 text-to-speech (TTS) model, optimized for Transformers.js

This is a French zero-shot classification model based on transformers.js, suitable for multi-class text classification tasks without fine-tuning.

A small Transformer-based handwritten text recognition model optimized for web usage

YOLOS-tiny is a lightweight object detection model based on the Transformer architecture, suitable for real-time object detection tasks.

Large-scale speech recognition model based on the wav2vec 2.0 architecture, supporting English speech-to-text conversion