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Mobilebert Finetuned Ner
Named Entity Recognition model fine-tuned based on MobileBERT architecture
Downloads 39
Release Time : 3/25/2022
Model Overview
This model is a fine-tuned version of the MobileBERT architecture for Named Entity Recognition (NER) tasks, suitable for identifying specific categories of named entities from text.
Model Features
Efficient and Lightweight
Based on MobileBERT architecture, more lightweight and efficient compared to standard BERT models
Fine-tuned Optimization
Specifically fine-tuned for NER tasks, optimizing entity recognition performance
Model Capabilities
Text Entity Recognition
Named Entity Classification
Use Cases
Information Extraction
Document Information Extraction
Extract key information such as person names, locations, and organization names from documents
Text Analysis
News Content Analysis
Analyze key entity information in news texts
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