Question vs Statement classifier trained on more than 7k samples which were coming from spoken data in an interview setting

Code for using in Transformers:

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("mrsinghania/asr-question-detection")

model = AutoModelForSequenceClassification.from_pretrained("mrsinghania/asr-question-detection")



The "asr-question-detection" model is a text classification model that can distinguish between questions and statements. It has been trained on over 7,000 samples of spoken data from interview settings. The model can be used with the Transformers library by initializing the tokenizer and model from the "mrsinghania/asr-question-detection" pretrained model.

Mrsinghania

Models by this creator

asr-question-detection

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