Update README.md

README.md

@@ -23,7 +23,23 @@ This model is a fine-tuned version of BioClinicalBERT to perform clinical text c
 
 ## Intended Use
 
-This model is designed to be used for the classification of EHRs. Users in the healthcare and biomedical research sectors can use this model to automatically categorise clinical information.
+This model is designed to be used for the classification of EHRs to identify acute vascular surgery admissions.
+
+### How to use
+
+```python
+from transformers import BertForSequenceClassification, BertTokenizer
+
+# Load model and tokenizer
+model = BertForSequenceClassification.from_pretrained("path_to_your_model", local_files_only=True)
+tokenizer = BertTokenizer.from_pretrained("path_to_your_model", local_files_only=True)
+
+# Tokenize input text
+inputs = tokenizer("Your clinical text here", return_tensors="pt")
+
+# Get model predictions
+outputs = model(**inputs)
+```
 
 ## Model description