🧠
Model

finbert

by ProsusAI hf-model--huggingface--prosusai--finbert
Nexus Index
30.0 Top 1%
P / V / C / U Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
Vital Performance
2.9M DL / 30D
0.0%

FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. Financial PhraseBank by Malo et al. (2014) is used for fine-tuning. For more details, please see the ...

Audited 30 FNI Score
Tiny - Params
- Context
Hot 2.9M Downloads
Dense BERT Architecture
Model Information Summary
Entity Passport
Registry ID hf-model--huggingface--prosusai--finbert
Provider huggingface
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Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__huggingface__prosusai__finbert,
  author = {ProsusAI},
  title = {finbert Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ProsusAI/finbert}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
ProsusAI. (2026). finbert [Model]. Free2AITools. https://huggingface.co/ProsusAI/finbert

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download huggingface/prosusai/finbert
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V16.5

30.0
ESTIMATED IMPACT TIER
Popularity (P) 0
Freshness (F) 0
Completeness (C) 0
Utility (U) 0

đŸ’Ŧ Index Insight

The Free2AITools Nexus Index for finbert aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

Technical Deep Dive


language: "en"
tags:

  • financial-sentiment-analysis
  • sentiment-analysis
    widget:
  • text: "Stocks rallied and the British pound gained."

FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. Financial PhraseBank by Malo et al. (2014) is used for fine-tuning. For more details, please see the paper FinBERT: Financial Sentiment Analysis with Pre-trained Language Models and our related blog post on Medium.

The model will give softmax outputs for three labels: positive, negative or neutral.


About Prosus

Prosus is a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities. For more information, please visit www.prosus.com.

Contact information

Please contact Dogu Araci dogu.araci[at]prosus[dot]com and Zulkuf Genc zulkuf.genc[at]prosus[dot]com about any FinBERT related issues and questions.

📝 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.
  • â€ĸ Source: Unknown
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1.0KLikes
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100% Data Disclosure Active

🆔 Identity & Source

id
hf-model--huggingface--prosusai--finbert
source
huggingface
author
ProsusAI
tags
transformerspytorchtfjaxberttext-classificationfinancial-sentiment-analysissentiment-analysisenarxiv:1908.10063endpoints_compatibledeploy:azureregion:us

âš™ī¸ Technical Specs

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

📊 Engagement & Metrics

likes
1,037
downloads
2,853,068

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