# Transformers.js Compatible

DistilBART-CNN-12-6 is a distilled version of the BART model, specifically designed for text summarization tasks, featuring a smaller model size and higher inference efficiency.

ONNX version of Depth Anything V2 Small, designed for Transformers.js, intended for monocular depth estimation tasks.

Jina Embeddings V2 Base is an efficient English text embedding model capable of converting text into high-dimensional vector representations, suitable for various natural language processing tasks.

A large-scale text summarization model based on the BART architecture, optimized for the CNN/DailyMail dataset