🧠
Layoutlmv3 Financial Document Classification model by edonath
⭐ 24.6
🧠
Model

Layoutlmv3 Financial Document Classification

by edonath edonath/layoutlmv3-financial-document-classification
Free2AITools Nexus Index
24.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 1
R: Recency 10
Q: Quality 50
Tech Context
Vital Performance
4 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 24.6 FNI Score
Tiny - Params
- Context
4 Downloads
Dense LAYOUTLMV3FORSEQUENCECLASSIFICATION Architecture
Model Information Summary
Entity Passport
Registry ID edonath/layoutlmv3-financial-document-classification
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{edonath_layoutlmv3_financial_document_classification,
  author = {edonath},
  title = {Layoutlmv3 Financial Document Classification Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/edonath/layoutlmv3-financial-document-classification}},
  note = {Accessed via Free2AITools.}
}
APA Style
edonath. (2023). Layoutlmv3 Financial Document Classification [Model]. Free2AITools. https://huggingface.co/edonath/layoutlmv3-financial-document-classification

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download edonath/layoutlmv3-financial-document-classification
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 1
Recency (R) 10
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Layoutlmv3 Financial Document Classification: Authority (A:29), Popularity (P:1), Recency (R:10), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
4Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--edonath--layoutlmv3-financial-document-classification
slug
edonath--layoutlmv3-financial-document-classification
source
huggingface
author
edonath
tags
transformers, pytorch, layoutlmv3, text-classification, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LayoutLMv3ForSequenceClassification
pipeline tag
text-classification

πŸ“Š Engagement & Metrics

downloads
4
stars
0
forks
0

Data indexed from public sources. Updated daily.