🧠
Tuberculosis Chest X-rays (Montgomery) model by raddar
⭐ 23.3
🧠
Model

Tuberculosis Chest X-rays (Montgomery)

by raddar hf-dataset--raddar--tuberculosis-chest-xrays-montgomery
Nexus Index
23.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 56
R: Recency 0
Q: Quality 30
Tech Context
Vital Performance
3.3K DL / 30D
0.0%
Audited 23.3 FNI Score
Tiny - Params
- Context
3.3K Downloads
Restricted UNKNOWN License
Model Information Summary
Entity Passport
Registry ID hf-dataset--raddar--tuberculosis-chest-xrays-montgomery
License Unknown
Provider kaggle
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__raddar__tuberculosis_chest_xrays_montgomery,
  author = {raddar},
  title = {Tuberculosis Chest X-rays (Montgomery) Model},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/model/hf-dataset--raddar--tuberculosis-chest-xrays-montgomery}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
raddar. (2026). Tuberculosis Chest X-rays (Montgomery) [Model]. Free2AITools. https://free2aitools.com/model/hf-dataset--raddar--tuberculosis-chest-xrays-montgomery

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download raddar/tuberculosis-chest-xrays-montgomery
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
23.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 56
Recency (R) 0
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Tuberculosis Chest X-rays (Montgomery): Semantic (S:50), Authority (A:0), Popularity (P:56), Recency (R:0), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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Technical Deep Dive

⚠ī¸ Incomplete Data

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

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
3.3KDownloads
📊 Data Source: Kaggle ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Kaggle metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--raddar--tuberculosis-chest-xrays-montgomery
slug
raddar--tuberculosis-chest-xrays-montgomery
source
kaggle
author
raddar
license
Unknown
tags
[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
3,285
stars
29
forks
0

Data indexed from public sources. Updated daily.