🧠
Paddleocr Quality Onnx model by efwfe
⭐ 45.5
🧠
Model

Paddleocr Quality Onnx

by efwfe efwfe/paddleocr-quality-onnx
Free2AITools Nexus Index
45.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 0
R: Recency 93
Q: Quality 50
Tech Context
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 45.5 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID efwfe/paddleocr-quality-onnx
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{efwfe_paddleocr_quality_onnx,
  author = {efwfe},
  title = {Paddleocr Quality Onnx Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/efwfe/paddleocr-quality-onnx}},
  note = {Accessed via Free2AITools.}
}
APA Style
efwfe. (2026). Paddleocr Quality Onnx [Model]. Free2AITools. https://huggingface.co/efwfe/paddleocr-quality-onnx

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download efwfe/paddleocr-quality-onnx

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 33
Popularity (P) 0
Recency (R) 93
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Paddleocr Quality Onnx: Authority (A:33), Popularity (P:0), Recency (R:93), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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.
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--efwfe--paddleocr-quality-onnx
slug
efwfe--paddleocr-quality-onnx
source
huggingface
author
efwfe
license
Apache-2.0
tags
onnxruntime, onnx, paddleocr, image-quality-assessment, ocr, feature-extraction, document-quality, vision-encoder, zh, en, multilingual, dataset:aslan-mingye/ocr-quality, license:apache-2.0, region:us

βš™οΈ Technical Specs

pipeline tag
feature-extraction

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.