ViLT
Vision-and-language transformer without convolution or region supervision.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is ViLT?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The tool has a small user base, leading to fewer resources and slower issue resolution on forums.
ViLT can experience significant slowdowns when processing high-resolution images or extensive text corpora.
Setting up the environment and dependencies requires advanced knowledge of Python and NLP libraries, which can be daunting for new users.
Fit analysis
Who is it for?
✓ Best for
Research teams working on multimodal learning tasks.
Developers looking for a transformer-based model without convolutional layers or region supervision.
✕ Not a fit for
Teams requiring real-time streaming capabilities (ViLT is designed for batch processing).
Projects with strict computational constraints as ViLT may require significant resources.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with ViLT
Step-by-step setup guide with code examples and common gotchas.