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Distilbert Base Uncased Squad2 With Ner With Neg With Multi With Repeat
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Distilbert Base Uncased Squad2 With Ner With Neg With Multi With Repeat
Developed by andi611
A QA and NER model fine-tuned on the conll2003 dataset based on distilbert-base-uncased-squad2
Downloads 20
Release Time : 3/2/2022
Model Overview
This model is a fine-tuned version of distilbert-base-uncased-squad2, supporting both question answering and named entity recognition tasks, with capabilities to handle negation and multi-turn QA.
Model Features
Multi-task Processing
Supports both question answering and named entity recognition tasks simultaneously
Efficient Inference
Based on DistilBERT architecture, more lightweight and efficient compared to the original BERT model
Complex Question Handling
Capable of processing complex questions involving negation and multi-turn repetition
Model Capabilities
Text-based Question Answering
Named Entity Recognition
Negation Handling
Multi-turn QA Processing
Use Cases
Information Extraction
Document QA System
Extracts answers to specific questions from documents
Entity Information Extraction
Identifies and classifies named entities (person names, locations, organizations, etc.) from text
Customer Service
Intelligent Customer Support
Handles various customer queries, including those in negative forms
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