Update README.md

README.md

@@ -27,7 +27,7 @@ datasets:
 
 # A Named Entity Recognition Model for Kazakh
 - The model was inspired by the [LREC 2022](https://lrec2022.lrec-conf.org/en/) paper [*KazNERD: Kazakh Named Entity Recognition Dataset*](https://aclanthology.org/2022.lrec-1.44).
-- The model was trained for 3 epochs on [*kaznerd_cleaned*](https://huggingface.co/datasets/yeshpanovrustem/kaznerd_cleaned).
+- The model was trained for 3 epochs on [*ner_kazakh*](https://huggingface.co/datasets/yeshpanovrustem/kaznerd_cleaned).
 - The original repository for the paper can be found at *https://github.com/IS2AI/KazNERD*.
 
 ## How to use
@@ -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_ner_kazakh")
+model = AutoModelForTokenClassification.from_pretrained("yeshpanovrustem/xlm_roberta_large_ner_kazakh")
 
 nlp = pipeline("ner", model = model, tokenizer = tokenizer)
 example = "Қазақстан Республикасы — Шығыс Еуропа мен Орталық Азияда орналасқан мемлекет."