Modelpublic

engineersakibcse47/NER_on_Bangla_Language

sourceHugging Faceupdated 2y agoView on Hugging Face

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Model Card

<h1>Named Entity Recognition on Bangla Language</h1> Fine Tuning BERT for NER on Bengali Language Tagging using HuggingFace

Correspondence Label ID and Label Name

Label ID	Label Name
0	O
1	B-PER
2	I-PER
3	B-ORG
4	I-ORG
5	B-LOC
6	I-LOC

<h1>Evaluation and Validation</h1>

Name	Precision	Recall	F1	Accuracy
Train/Val set	0.963899	0.964770	0.964334	0.981252
Test set	0.952855	0.965105	0.958941	0.981349

Transformers AutoModelForTokenClassification

from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline

tokenizer = AutoTokenizer.from_pretrained("engineersakibcse47/NER_on_Bangla_Language")
model_ner = AutoModelForTokenClassification.from_pretrained("engineersakibcse47/NER_on_Bangla_Language")

pipe = pipeline("ner", model=model_ner, tokenizer=tokenizer, aggregation_strategy="simple")

sample = "বসনিয়া ও হার্জেগোভিনা"

result = pipe(sample)
result