Update README.md

README.md

@@ -24,7 +24,7 @@ This model is a **fine-tuned version of [xlm-roberta-base](https://huggingface.c
 - **Languages**: Bengali (Romanized) + English  
 - **Classes**: `0`, `1`, `2`, `3`  
 - **Fine-tuning method**: Full fine-tuning  
-- **Dataset**: [Bengali-English Code-Mixed Sentiment Dataset](https://huggingface.co/datasets/jojocoder28/bn_code_mix_sentiment_dataset)  
+- **Dataset**: [Bengali-English Code-Mixed Sentiment Dataset](https://huggingface.co/datasets/Swarnadeep-28/bn_code_mix_sentiment_dataset)  
 
 This model provides strong baseline performance for code-mixed sentiment classification and can be directly applied to social media analysis and low-resource NLP research.
 
@@ -37,7 +37,7 @@ This model provides strong baseline performance for code-mixed sentiment classif
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
-model_id = "jojocoder28/bengali-code-mix-sentiment"
+model_id = "Swarnadeep-28/bengali-code-mix-sentiment"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForSequenceClassification.from_pretrained(model_id)
 
@@ -112,13 +112,13 @@ If you use this model, please cite:
   author    = {Swarnadeep Das},
   title     = {Bengali-English Code-Mixed Sentiment Model},
   year      = {2025},
-  url       = {https://huggingface.co/jojocoder28/bengali-code-mix-sentiment}
+  url       = {https://huggingface.co/Swarnadeep-28/bengali-code-mix-sentiment}
 }
 ```
 
 ---
 
 ## Acknowledgements
-- **Dataset**: [Bengali-English Code-Mixed Sentiment Dataset](https://huggingface.co/datasets/jojocoder28/bn_code_mix_sentiment_dataset)  
+- **Dataset**: [Bengali-English Code-Mixed Sentiment Dataset](https://huggingface.co/datasets/Swarnadeep-28/bn_code_mix_sentiment_dataset)  
 - **Base model**: [`xlm-roberta-base`](https://huggingface.co/xlm-roberta-base)  
 - **Frameworks**: [Transformers](https://huggingface.co/docs/transformers), [Datasets](https://huggingface.co/docs/datasets)