Description
The goal of this library is to provide an easy, scalable, and hassle-free way to run huggingface transformer pipelines in golang applications. It is built on the following principles: - Fidelity to the original Huggingface python implementations: the aim is to accurately replicate huggingface inference implementations for the implemented pipelines, so that models trained and tested in python can be seamlessly deployed in a golang application - Hassle-free and performant production use: we exclusively support onnx exports of huggingface models. Pytorch transformer models that don't have an onnx version can be easily exported to onnx via huggingface optimum, and used with the library - Run on your hardware: this library is for those who want to run transformer models tightly coupled with their go applications, without the performance drawbacks of having to hit a rest API, or the hassle of setting up and maintaining e.g. a python RPC service that talks to go.
Hugot alternatives and similar packages
Based on the "Artificial Intelligence" category.
Alternatively, view hugot alternatives based on common mentions on social networks and blogs.
-
Ollama
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. -
LocalAI
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. -
-
-
Conex
Conex integrates Docker with testing package so you can easily run your integration tests with containers. -
-
-
routex
Lightweight AI agent runtime for Go. Define multi-agent crews in YAML, run them with goroutines and channels, and let the runtime handle scheduling, parallelism, retries, and observability — without leaving the Go ecosystem.
SaaSHub - Software Alternatives and Reviews
Do you think we are missing an alternative of Hugot or a related project?