🧠
Roberta Base Formality Ranker model by S Nlp
⭐ 30.7
🧠
Model

Roberta Base Formality Ranker

by S Nlp hf-dataset--s-nlp--roberta-base-formality-ranker
Nexus Index
30.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 45
R: Recency 1
Q: Quality 65
Tech Context
Vital Performance
18.4K DL / 30D
0.0%
Source →
Audited 30.7 FNI Score
Tiny - Params
- Context
18.4K Downloads
Restricted CC License
Model Information Summary
Entity Passport
Registry ID hf-dataset--s-nlp--roberta-base-formality-ranker
License CC-BY-NC-SA-4.0
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__s_nlp__roberta_base_formality_ranker,
  author = {S Nlp},
  title = {Roberta Base Formality Ranker Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/s-nlp/roberta-base-formality-ranker}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
S Nlp. (2026). Roberta Base Formality Ranker [Model]. Free2AITools. https://huggingface.co/s-nlp/roberta-base-formality-ranker

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download s-nlp/roberta-base-formality-ranker
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
30.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 45
Recency (R) 1
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Roberta Base Formality Ranker: Semantic (S:50), Authority (A:0), Popularity (P:45), Recency (R:1), 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
18.4KDownloads
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-dataset--s-nlp--roberta-base-formality-ranker
slug
s-nlp--roberta-base-formality-ranker
source
huggingface
author
S Nlp
license
CC-BY-NC-SA-4.0
tags
transformers, pytorch, safetensors, roberta, text-classification, formality, en, dataset:gyafc, dataset:pavlick-tetreault-2016, license:cc-by-nc-sa-4.0, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
text-classification

📊 Engagement & Metrics

downloads
18,414
stars
0
forks
0

Data indexed from public sources. Updated daily.