liuyukid/transformers-ner
Pytorch-Named-Entity-Recognition-with-transformers
Implements NER across multiple transformer architectures (BERT, ALBERT, ELECTRA, RoBERTa, DistilBERT, etc.) paired with three decoding strategies: softmax classification, CRF, and span-based tagging. Supports both Chinese (CLUENER) and English (CoNLL2003) datasets out-of-the-box. Built on PyTorch with the Hugging Face transformers library, providing configurable pipelines via shell scripts for benchmarking multilingual NER performance.
210 stars. No commits in the last 6 months.
Stars
210
Forks
43
Language
Python
License
—
Category
Last pushed
Jun 01, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/liuyukid/transformers-ner"
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
Graphlet-AI/eridu
Deep fuzzy matching people and company names for multilingual entity resolution using...
shushanxingzhe/transformers_ner
Add CRF or LSTM+CRF for huggingface transformers bert to perform better on NER task. It is very...
dsindex/iclassifier
reference pytorch code for intent classification
fran-martinez/bio_ner_bert
BERT finetuned on NER downstream tasks