Update README.md

README.md

@@ -27,8 +27,6 @@ This model is a fine-tuned version of **Microsoft's UniXcoder**, optimized for d
 - **Dataset Used:** `DetectVul/devign`
 - **Architecture:** Transformer-based sequence classification
 
-## Model Sources
-- **Paper (UniXcoder):** [https://arxiv.org/abs/2203.03850](https://arxiv.org/abs/2203.03850)
 
 ## Uses
 
@@ -62,8 +60,8 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
 # Load the fine-tuned model
-tokenizer = AutoTokenizer.from_pretrained("your_username/unixcoder-code-vulnerability-detector")
-model = AutoModelForSequenceClassification.from_pretrained("your_username/unixcoder-code-vulnerability-detector")
+tokenizer = AutoTokenizer.from_pretrained("mahdin70/unixcoder-code-vulnerability-detector")
+model = AutoModelForSequenceClassification.from_pretrained("mahdin70/unixcoder-code-vulnerability-detector")
 
 # Sample code snippet
 code_snippet = """