# **Q-Cat** 
A pre-trained Distilbert model for classifying question types. For use in QA systems.

Dataset contains ~800 labeled examples. Classifier uses a taxonomy of 27 question types.
{"license": "mit"}
transformers pytorch distilbert text-classification license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 

# Q-Cat 
A pre-trained Distilbert model for classifying question types. For use in QA systems.

Dataset contains ~800 labeled examples. Classifier uses a taxonomy of 27 question types.
# Q-Cat 
A pre-trained Distilbert model for classifying question types. For use in QA systems.

Dataset contains ~800 labeled examples. Classifier uses a taxonomy of 27 question types.
TAGS
#transformers #pytorch #distilbert #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Q-Cat 
A pre-trained Distilbert model for classifying question types. For use in QA systems.

Dataset contains ~800 labeled examples. Classifier uses a taxonomy of 27 question types.
passage: TAGS
#transformers #pytorch #distilbert #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Q-Cat 
A pre-trained Distilbert model for classifying question types. For use in QA systems.

Dataset contains ~800 labeled examples. Classifier uses a taxonomy of 27 question types.