bert-base-uncased-finetuned-quac Open-source Language Model - Support Multiple NLP Tasks and Free Deployment

Bert Base Uncased Finetuned Quac

Developed by OrfeasTsk

Pre-trained language model based on Transformer architecture, suitable for various NLP tasks

Downloads 25

Release Time : 3/9/2022

Model Overview

Bidirectional Transformer encoder model that acquires general language understanding capabilities through large-scale corpus pre-training

Bidirectional context understanding

Achieves bidirectional context encoding through MLM pre-training tasks

Transfer learning friendly

Can be adapted to downstream NLP tasks through fine-tuning

Attention mechanism

Fully connected self-attention layers capture long-range dependencies

Text feature extraction

Semantic similarity calculation

Text classification

Question answering systems

Named entity recognition

Text analysis

Sentiment analysis

Classify user comments into positive/negative sentiments

Typical accuracy >90% (estimated)

Information extraction

Entity recognition

Extract entities such as person names/locations/organizations from text

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