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

<b>Code for using in Transformers:</b>

from transformers import AutoTokenizer, AutoModelForSequenceClassification
  
tokenizer = AutoTokenizer.from_pretrained("mrsinghania/asr-question-detection")

model = AutoModelForSequenceClassification.from_pretrained("mrsinghania/asr-question-detection")
{}
transformers pytorch bert text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

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

<b>Code for using in Transformers:</b>

from transformers import AutoTokenizer, AutoModelForSequenceClassification
  
tokenizer = AutoTokenizer.from_pretrained("mrsinghania/asr-question-detection")

model = AutoModelForSequenceClassification.from_pretrained("mrsinghania/asr-question-detection")
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
