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Bert Tiny Book Text Classifier

Developed by shhossain
A fine-tuned BERT-tiny model for book text classification, primarily used to distinguish book texts (mainly novels) from general texts.
Downloads 24
Release Time : 8/21/2023

Model Overview

This model is a text classifier specifically designed to identify and categorize book texts, especially novel content. It can accurately differentiate book texts from other types of general texts.

Model Features

High Accuracy
Achieved an accuracy of 99.91% on the test set, demonstrating excellent performance.
Lightweight
Based on the BERT-tiny architecture with fewer parameters, making it suitable for resource-limited environments.
Specialized Classification
Specifically designed for classifying book texts (mainly novels), offering strong relevance.

Model Capabilities

Text Classification
Distinguishing Book Texts from General Texts

Use Cases

Content Classification
Book Content Identification
Used to identify and classify book texts, especially novel content.
Accurately distinguishes book texts from other general texts.
Text Filtering
Filters out book texts in text processing workflows.
Improves the efficiency and accuracy of text processing.
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