metadata
language: mr
datasets:
- wikiann
examples: null
widget:
- text: राज्यसभा निवडणुकांसाठी उद्या मुंबईत मतदान होणार आहे.
example_title: Sentence_1
- text: विराट कोहली भारताकडून खेळतो.
example_title: Sentence_2
- text: नवी दिल्ली ही भारताची राजधानी आहे
example_title: Sentence_3
Marathi Named Entity Recognition Model trained using transfer learning
Fine-tuning bert-base-multilingual-cased on Wikiann dataset for performing NER on Marathi language.Label ID and its corresponding label name
Label list: (0), B-PER (1), I-PER (2), B-ORG (3), I-ORG (4), B-LOC (5), I-LOC (6)
Example
from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline
tokenizer = AutoTokenizer.from_pretrained("lakshaywadhwa1993/ner_marathi_bert")
model = AutoModelForTokenClassification.from_pretrained("lakshaywadhwa1993/ner_marathi_bert")
nlp = pipeline("ner", model=model, tokenizer=tokenizer)
example = ["राज्यसभा","निवडणुकांसाठी","मुंबईत","भाजपचे" ,"चिंचवडचे", "आमदार", "लक्ष्मण", "जगताप"]
results = nlp(example)
results