Model Card added

README.md

@@ -0,0 +1,18 @@
+Fine-tuning bert-base-multilingual-cased on Wikiann dataset for performing NER on Marathi language.
+
+Label list: (0), B-PER (1), I-PER (2), B-ORG (3), I-ORG (4), B-LOC (5), I-LOC (6)
+
+How to use the model:
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+
+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