clarin-pl/kpwr-ner
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How to use CodeNLP/pdn2_v08_kpwr_ner_n82 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("token-classification", model="CodeNLP/pdn2_v08_kpwr_ner_n82") # Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("CodeNLP/pdn2_v08_kpwr_ner_n82")
model = AutoModel.from_pretrained("CodeNLP/pdn2_v08_kpwr_ner_n82")A transformer-based model for named entity recognition for Polish. The model was trained on the train part of the KPWr corpus to recognize 82 categories of NE.
precision recall f1-score support
micro avg 0.7803 0.8033 0.7916 17711
macro avg 0.7921 0.8033 0.7932 17711
Detailed results can be found in the test_results.txt file.
Michał Marcińczuk marcinczuk@gmail.com