FAST: Efficient Action Tokenization for Vision-Language-Action Models

A Hugging Face repository that provides a universal action tokenizer (FAST+) designed to map sequences of robot actions into dense, discrete tokens for training autoregressive vision-language-action models. It supports both usage of a pre-trained tokenizer and easy custom training on users' own data.

Key Information

  • Category: Robotics
  • Source: Huggingface
  • Tags: robotics
  • Last updated: January 09, 2026

Structured Metrics

No structured metrics captured yet.

Links

Canonical source: https://huggingface.co/physical-intelligence/fast