# Transformers backend integration in SGLang

DevFeed: [Transformers backend integration in SGLang](<https://devfeed.tech/articles/transformers-backend-integration-in-sglang-7533.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/transformers-backend-sglang>)

Author: Yineng Zhang; Ke Bao; Lianmin; Jin Pan; Marc Sun

Published: 2025-06-23T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [backend](<https://devfeed.tech/tags/backend.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-performance](<https://devfeed.tech/tags/inference-performance.md>), [integration](<https://devfeed.tech/tags/integration.md>), [latency](<https://devfeed.tech/tags/latency.md>), [model](<https://devfeed.tech/tags/model.md>), [sglang](<https://devfeed.tech/tags/sglang.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

## AI overview

SGLang adds a Transformers backend that supports high-performance inference for Transformers-compatible models, including automatic fallback for models without native SGLang support.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.