Cybertron

The Cybertron Go package provides an interface for NLP technologies and pretrained Transformer models.

github.com/nlpodyssey/cybertron
Cybertron homepage screenshot

About Cybertron

Cybertron is a package in pure Go built on spaGO that gives Go developers an interface for NLP without other programming languages or complex frameworks. It is designed for pre-trained Transformer models from the Hugging Face models repository and is primarily aimed at running inference. It requires Go 1.21 and supports library use with examples and server mode configured by .env file or flags.

Pricing is not clearly stated.

Key features

  • BERT, ELECTRA, BART, PEGASUS and MarianMT models
  • Masked language modeling
  • Supervised and zero-shot text classification
  • Token classification
  • Extractive and abstractive question answering
  • Text encoding for embeddings and semantic search
  • Text generation for translation and summarization
Best for: Go developers who want to run NLP inference with pre-trained Transformer models in pure Go.

Cybertron at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Details verified
Oct 22, 2026 · Official source
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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