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drive_titok_s_640
turing-motors/drive_titok_s_640
drive_titok_s_640 is a machine learning model from turing-motors. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Access
Public
Updated Mar 19, 2026
Repo size
342 MB
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3
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Repo makeup
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 19, 2026
- Updated
- Mar 19, 2026
- SHA
- 53799de9
Model card
From the Hugging Face model README
DriveTiTok-s-640
DriveTiTok-s-640 is an image tokenizer for driving scene images based on the TiTok architecture. It generates seed tokens from past frames and uses Self-Attention to model temporal differences while integrating global context, enabling efficient compression. The model is trained on driving data collected in Tokyo.
Installation
uv sync --all-extras
Usage
We provide sample code for reconstructing images using DriveTiTok-s-640 and visualizing the reconstructed images. See tutorial.ipynb.
License
This project is licensed under the Apache License, Version 2.0. See the LICENSE file for details.
Acknowledgement
This model was developed as part of the project JPNP20017, which is subsidized by the New Energy and Industrial Technology Development Organization (NEDO), Japan.
The training and inference code is based on ByteDance's https://github.com/bytedance/1d-tokenizer under the Apache-2.0 license. Additionally, the tutorial.ipynb in this repository is derived from https://github.com/bytedance/1d-tokenizer. We acknowledge and appreciate their contribution as the foundation of our development.
- License
- apache-2.0
- Created
- Mar 19, 2026
- Updated
- Mar 19, 2026