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Sasb Esg Sentence Classifier model by ejunprung
⭐ 33.2
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Model

Sasb Esg Sentence Classifier

by ejunprung ejunprung/sasb-esg-sentence-classifier
Free2AITools Nexus Index
33.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 3
R: Recency 14
Q: Quality 50
Tech Context
Vital Performance
23 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 33.2 FNI Score
Tiny - Params
- Context
23 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID ejunprung/sasb-esg-sentence-classifier
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ejunprung_sasb_esg_sentence_classifier,
  author = {ejunprung},
  title = {Sasb Esg Sentence Classifier Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/ejunprung/SASB-ESG-Sentence-Classifier}},
  note = {Accessed via Free2AITools.}
}
APA Style
ejunprung. (2023). Sasb Esg Sentence Classifier [Model]. Free2AITools. https://huggingface.co/ejunprung/SASB-ESG-Sentence-Classifier

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download ejunprung/sasb-esg-sentence-classifier

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) 3
Recency (R) 14
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Sasb Esg Sentence Classifier: Authority (A:33), Popularity (P:3), Recency (R:14), 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
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⚠️ Incomplete Data

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

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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.

Social Proof

HuggingFace Hub
23Downloads
Hub Discussions
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--ejunprung--sasb-esg-sentence-classifier
slug
ejunprung--sasb-esg-sentence-classifier
source
huggingface
author
ejunprung
license
Apache-2.0
tags
tf-keras, esg, text-classification, en, doi:10.57967/hf/1505, license:apache-2.0, region:us

βš™οΈ Technical Specs

pipeline tag
text-classification

πŸ“Š Engagement & Metrics

downloads
23

Data indexed from public sources. Updated daily.