Update README.md

README.md

@@ -37,8 +37,8 @@ You can use this model with the Transformers pipeline for NER.
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 from transformers import pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("yeshpanovrustem/xlm-roberta-large-ner-kazakh")
-model = AutoModelForTokenClassification.from_pretrained("yeshpanovrustem/xlm-roberta-large-ner-kazakh")
+tokenizer = AutoTokenizer.from_pretrained("yeshpanovrustem/xlm-roberta-large-kaznerd")
+model = AutoModelForTokenClassification.from_pretrained("yeshpanovrustem/xlm-roberta-large-kaznerd")
 
 # aggregation_strategy = "none"
 nlp = pipeline("ner", model = model, tokenizer = tokenizer, aggregation_strategy = "none")