AlaFalaki/AttentionVisualizer
A simple library to showcase highest scored words using RoBERTa model
This tool helps researchers and NLP engineers understand which words in a sentence a RoBERTa language model focuses on. You input a text, and it visually highlights the words the model considers most important for its understanding, offering insights into its internal workings. It's designed for those evaluating or debugging transformer-based models.
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Use this if you need to visually interpret the 'attention' given to different words by a RoBERTa model to better understand its predictions or identify biases.
Not ideal if you are not working with RoBERTa models or need to analyze other types of deep learning models.
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Language
Python
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Last pushed
Sep 23, 2023
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