ViLT

What it is

ViLT is a vision-and-language transformer developed by Kakao that operates without the need for convolutional layers or region supervision, making it highly efficient and versatile for various NLP tasks involving visual data.

ViLT stands out by offering a vision-and-language transformer model that does not rely on convolutional layers or region supervision, providing an efficient and versatile solution for multimodal tasks.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited community support and documentation

   The tool has a small user base, leading to fewer resources and slower issue resolution on forums.

2. 02

   Performance issues with large datasets

   ViLT can experience significant slowdowns when processing high-resolution images or extensive text corpora.

3. 03

   Complex setup process for beginners

   Setting up the environment and dependencies requires advanced knowledge of Python and NLP libraries, which can be daunting for new users.

What it does well

• Vision-and-language transformer without convolutional layers or region supervision.

• Efficient and versatile for tasks involving visual data.

• Open-source under Apache-2.0 license.

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.