# ONNX Quantization

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.

Quantized ONNX version of the BAAI/bge-small-en-v1.5 model for text classification and similarity search.

This is a multilingual named entity recognition (NER) model based on DistilBERT, supporting 10 languages, and quantized for compatibility with Transformers.js.

A lightweight sentiment classification model distilled from the GoEmotions dataset, trained via a zero-shot classification pipeline, suitable for efficient sentiment analysis tasks.

This is a sentence transformer model that maps text to a dense vector space, suitable for semantic search and clustering tasks.