deeppavlov/AutoIntent
Automated machine learning for text classification
Quickly set up a text classifier to understand user intentions in conversational AI systems. You provide examples of user phrases with their corresponding intents (like 'order food' or 'check balance'), and it automatically builds a system to predict the intent of new, unseen phrases. This is designed for conversational AI designers, customer service automation specialists, and product managers working on chatbots or virtual assistants.
Available on PyPI.
Use this if you need to automatically categorize user requests or questions into predefined intents for a chatbot or virtual assistant, without deep expertise in machine learning.
Not ideal if you need a general text classification tool for tasks outside of intent detection, such as sentiment analysis or topic modeling for long documents.
Stars
53
Forks
11
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Dependencies
17
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/deeppavlov/AutoIntent"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
shushanxingzhe/transformers_ner
Add CRF or LSTM+CRF for huggingface transformers bert to perform better on NER task. It is very...
fran-martinez/bio_ner_bert
BERT finetuned on NER downstream tasks
liuyukid/transformers-ner
Pytorch-Named-Entity-Recognition-with-transformers
suamin/T2NER
T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition (EACL 2021)
dsindex/iclassifier
reference pytorch code for intent classification