ViLT
Vision-and-language transformer without convolution or region supervision.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
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
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
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
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Next step
Get Started with ViLT
Step-by-step setup guide with code examples and common gotchas.