Return CLIP features for the clip-vit-large-patch14 model

This is a language model that can be used to obtain document embeddings suitable for downstream tasks like semantic search and clustering.

A model for text, audio, and image embeddings in one space

BAAI's bge-en-large-v1.5 for embedding text sequences

An 8k context text embedding model served FAST with ONNX on GPU. Check the examples tab to see different ways to run it.