🧠
Idnes Iab Classifier model by PetrKelin
⭐ 39.9
🧠
Model

Idnes Iab Classifier

by PetrKelin hf-model--petrkelin--idnes-iab-classifier
Free2AITools Nexus Index
39.9 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 7
R: Recency 98
Q: Quality 65
Tech Context
0.28B Params
4.096K Ctx
Vital Performance
79 DL / 30D
0.0%
Source →
Audited 39.9 FNI Score
Tiny 0.28B Params
4k Context
79 Downloads
8G GPU ~2GB Est. VRAM
Dense XLMROBERTAFORSEQUENCECLASSIFICATION Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--petrkelin--idnes-iab-classifier
License MIT
Provider huggingface
💾

Compute Threshold

~1.5GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__petrkelin__idnes_iab_classifier,
  author = {PetrKelin},
  title = {Idnes Iab Classifier Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/PetrKelin/idnes-iab-classifier}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
PetrKelin. (2026). Idnes Iab Classifier [Model]. Free2AITools. https://huggingface.co/PetrKelin/idnes-iab-classifier

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run idnes-iab-classifier
🤗 HF Download
huggingface-cli download petrkelin/idnes-iab-classifier
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Free2AITools Nexus Index V2.0

Methodology Index Protocol
Semantic (S) 50
Authority (A) 0
Popularity (P) 7
Recency (R) 98
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Idnes Iab Classifier: Semantic (S:50), Authority (A:0), Popularity (P:7), Recency (R:98), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

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

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

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.

View Original Source →

📝 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
79Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face 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-model--petrkelin--idnes-iab-classifier
slug
petrkelin--idnes-iab-classifier
source
huggingface
author
PetrKelin
license
MIT
tags
transformers, safetensors, xlm-roberta, text-classification, generated_from_trainer, base_model:facebookai/xlm-roberta-base, base_model:finetune:facebookai/xlm-roberta-base, license:mit, text-embeddings-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
XLMRobertaForSequenceClassification
params billions
0.28
context length
4,096
pipeline tag
text-classification
vram gb
1.5
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
79
stars
0
forks
null

Data indexed from public sources. Updated daily.