🧠
Germany Voter's Dataset 2021 model by optimalbhandari
⭐ 25.5
🧠
Model

Germany Voter's Dataset 2021

by optimalbhandari hf-dataset--optimalbhandari--germany-voters-dataset-2021
Nexus Index
25.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 21
R: Recency 52
Q: Quality 30
Tech Context
Vital Performance
9 DL / 30D
0.0%
Audited 25.5 FNI Score
Tiny - Params
- Context
9 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-dataset--optimalbhandari--germany-voters-dataset-2021
License MIT
Provider kaggle
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__optimalbhandari__germany_voters_dataset_2021,
  author = {optimalbhandari},
  title = {Germany Voter's Dataset 2021 Model},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/model/hf-dataset--optimalbhandari--germany-voters-dataset-2021}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
optimalbhandari. (2026). Germany Voter's Dataset 2021 [Model]. Free2AITools. https://free2aitools.com/model/hf-dataset--optimalbhandari--germany-voters-dataset-2021

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download optimalbhandari/germany-voters-dataset-2021
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
25.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 21
Recency (R) 52
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Germany Voter's Dataset 2021: Semantic (S:50), Authority (A:0), Popularity (P:21), Recency (R:52), 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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Deployment Guide

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Technical Deep Dive

A small translated and compiled version of 2021 Germany's election data

⚠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
9Downloads
📊 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--optimalbhandari--germany-voters-dataset-2021
slug
optimalbhandari--germany-voters-dataset-2021
source
kaggle
author
optimalbhandari
license
MIT
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
9
stars
1
forks
0

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