Mobile-Bert-Uncased-Google
Language model for masked language modeling and general‑purpose NLP tasks.
MOBILEBERT is a lightweight BERT model designed for efficient self‑supervised learning of language representations. It can be used for masked language modeling and as a backbone for various NLP tasks.
Not supported
This model is currently not supported on any Mobile chipset.
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View for other chipsetsTechnical Details
Input resolution:1x384
Model checkpoint:mobile_bert_uncased_google
Model size (float):130 MB
Number of parameters:25.3M
Applicable Scenarios
- Text Classification
- Sentiment Analysis
- Named Entity Recognition
Supported Mobile Form Factors
- Phone
- Tablet
License
Model:APACHE-2.0
Tags
- backbone
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- 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 S26
- Samsung Galaxy S26 Ultra
- Samsung Galaxy S26+
- Samsung Galaxy Tab S8
- Snapdragon 8 Elite Gen 5 QRD
- Snapdragon 8 Elite QRD
- Xiaomi 12
Supported Mobile Chipsets
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Elite Gen 5 Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
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