dsindex/iclassifier
reference pytorch code for intent classification
This project helps classify the underlying intent of short text phrases, like user commands or queries. You provide sentences, and it tells you what action or category each sentence belongs to. This is ideal for product managers, customer service leads, or anyone building conversational AI, chatbots, or search functionality.
No commits in the last 6 months.
Use this if you need to accurately determine the purpose or topic of short text inputs to automate responses or categorize information.
Not ideal if you need to extract specific pieces of information (like names or dates) from within a sentence; for that, you'd need an entity extraction tool.
Stars
44
Forks
14
Language
Python
License
—
Category
Last pushed
Oct 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/dsindex/iclassifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
deeppavlov/AutoIntent
Automated machine learning for text classification
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)