Update README.md

README.md

@@ -21,6 +21,19 @@ KAERS-BERT is a domain-specific Korean BERT model specialized for clinical text
 
 The model is specifically designed to handle clinical texts where code-switching between Korean and English is frequent, making it particularly effective for processing medical terms and abbreviations in a bilingual context.
 
+## Usage
+You can load the model from HuggingFace Hub while using the local tokenizer:
+
+```python```
+from transformers import BertForPreTraining
+from tokenization_kobert import KoBERTTokenizer
+
+# Load model from HuggingFace
+model = BertForPreTraining.from_pretrained("kimsiun/kaers-bert-241101")
+
+# Load tokenizer from local file
+tokenizer = KoBERTTokenizer.from_pretrained('skt/kobert-base-v1')
+
 ## Key Features
 
 - Specialized in clinical and pharmaceutical domain text