CLIP-as-service is a low-latency high-scalability service for embedding images and text. It can be easily integrated as a microservice into neural search solutions. Serve CLIP models with TensorRT, ONNX runtime and PyTorch w/o JIT with 800QPS[*]. Non-blocking duplex streaming on requests and responses, designed for large data and long-running tasks. Horizontally scale up and down multiple CLIP models on single GPU, with automatic load balancing. Easy-to-use. No learning curve, minimalist design on client and server. Intuitive and consistent API for image and sentence embedding. Async client support. Easily switch between gRPC, HTTP, WebSocket protocols with TLS and compression. Smooth integration with neural search ecosystem including Jina and DocArray. Build cross-modal and multi-modal solutions in no time.

Features

  • Make sure you have Python 3.7+
  • You can install client and server independently
  • Always-online demo server
  • Smooth integration with neural search ecosystem
  • No learning curve, minimalist design on client and server
  • Intuitive and consistent API for image and sentence embedding

Project Samples

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Multimedia Software, Python Machine Learning Software, Python Load Balancers, Python Neural Search Software

Registered

2022-07-29