LayoutLM Base Uncased
| Property | Value |
|---|---|
| Parameter Count | 113M parameters |
| License | MIT |
| Author | Microsoft |
| Paper | View Research Paper |
| Downloads | 2.4M+ |
What is layoutlm-base-uncased?
LayoutLM is a groundbreaking document AI model that combines text, layout, and format information for enhanced document understanding. Developed by Microsoft, this base uncased version represents a 12-layer transformer architecture with 768 hidden dimensions and 12 attention heads, trained on 11M documents for 2 epochs.
Implementation Details
The model implements a multimodal approach to document understanding, incorporating both textual and spatial information. It's built on a transformer architecture specifically optimized for document processing tasks.
- 12-layer transformer architecture
- 768 hidden dimensions
- 12 attention heads
- Pre-trained on IIT-CDIP Test Collection 1.0
Core Capabilities
- Document image understanding
- Form understanding and processing
- Receipt analysis and extraction
- Information extraction from structured documents
- Layout-aware text processing
Frequently Asked Questions
Q: What makes this model unique?
LayoutLM's uniqueness lies in its ability to simultaneously process text content and spatial layout information, making it particularly effective for document understanding tasks. It achieves state-of-the-art results by incorporating document layout as a crucial feature during pre-training.
Q: What are the recommended use cases?
The model excels in document AI applications such as form understanding, receipt processing, and information extraction from structured documents. It's particularly valuable for scenarios where both text content and spatial layout are important for comprehension.
