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Bert Base Uncased Pf Wikihop

Developed by AdapterHub
This is an adapter trained on the bert-base-uncased model, specifically designed for question answering tasks, using the Wikihop dataset for training.
Downloads 113
Release Time : 3/2/2022

Model Overview

This adapter adds question answering capabilities to the bert-base-uncased model and can be easily loaded and used via the adapter-transformers library.

Model Features

Adapter Technology
Extends the BERT model using adapter technology, enabling new functionalities without modifying the original model parameters.
Efficient Task Transfer
Focuses on a specific task (Wikihop question answering) with an adapter for efficient task transfer.
Plug-and-Play
The adapter can be easily loaded and used via the adapter-transformers library.

Model Capabilities

Question Answering System
Text Understanding
Information Extraction

Use Cases

Question Answering System
Multi-hop Question Answering
Handles complex question answering scenarios requiring multi-step reasoning
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