Book Test Classifier

Classify book text (mostly fictional book)

Model Details

Model Description

This model is finetuned on bert-tiny for classifying book text.

• Developed by: shhossain
• Model type: [Bert]
• Language(s) (NLP): [English]
• License: [MIT]
• Finetuned from model [Bert-Tiny]: bert-tiny

Uses

from transformers import pipeline, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('prajjwal1/bert-tiny')

pipe = pipeline('text-classification', model='shhossain/bert-tiny-book-text-classifier')

book_text = """Shen Yuanye didn’t expect to go back to Huang Ni’s matter again, this matter of being killed without finding the murderer, who else could be beside her."""

pipe(book_text) # LABEL_1
>> [{'label': 'LABEL_1', 'score': 0.9998537302017212}]

normal_text = """I am so sorry this is a day late, guys. Unfortunately, my internet was down so it was out of my control. Its still intermittent but hopefully it will be fine by next week. Hopefully the fact that Skye and Pietro are back in form will help make up for it."""

pipe(normal_text) # LABEL_0
>> [{'label': 'LABEL_0', 'score': 0.9984021782875061}]