Electra-Bert-Base-Discrim-Google

Language model for masked language modeling and general‑purpose NLP tasks.

ELECTRABERT is a lightweight BERT model designed for efficient self‑supervised learning of language representations. It can be used for identify unnatural or artificially modified text and as a backbone for various NLP tasks.

Technical Details

Model checkpoint:google/electra-base-discriminator
Input resolution:1x384
Number of parameters:109M
Model size (float):417 MB

Applicable Scenarios

  • Text Classification
  • Sentiment Analysis
  • Named Entity Recognition

Supported Mobile Form Factors

  • Phone
  • Tablet

Licenses

Source Model:APACHE-2.0
Deployable Model:AI-HUB-MODELS-LICENSE

Tags

  • backbone

Supported Mobile Devices

  • Samsung Galaxy S21
  • Samsung Galaxy S21 Ultra
  • Samsung Galaxy S21+
  • Samsung Galaxy S22 5G
  • Samsung Galaxy S22 Ultra 5G
  • Samsung Galaxy S22+ 5G
  • Samsung Galaxy S23
  • Samsung Galaxy S23 Ultra
  • Samsung Galaxy S23+
  • Samsung Galaxy S24
  • Samsung Galaxy S24 Ultra
  • Samsung Galaxy S24+
  • Samsung Galaxy S25
  • Samsung Galaxy S25 Ultra
  • Samsung Galaxy S25+
  • Samsung Galaxy Tab S8
  • Snapdragon 8 Elite Gen 5 QRD
  • Xiaomi 12
  • Xiaomi 12 Pro

Supported Mobile Chipsets

  • Snapdragon® 8 Elite For Galaxy Mobile
  • Snapdragon® 8 Elite Gen5 Mobile
  • Snapdragon® 8 Gen 1 Mobile
  • Snapdragon® 8 Gen 2 Mobile
  • Snapdragon® 8 Gen 3 Mobile
  • Snapdragon® 888 Mobile

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