Update README.md

README.md

@@ -23,16 +23,16 @@ This repository contains fine-tuned TensorFlow and Safetensors weights of VBART
 - **Model type:**  Transformer encoder-decoder based on mBART architecture
 - **Language(s) (NLP):** Turkish
 - **License:** CC BY-NC-SA 4.0
-- **Finetuned from:** VBART-Large
+- **Finetuned from:** VBART-XLarge
 - **Paper:** [arXiv](https://arxiv.org/abs/2403.01308)
 ## How to Get Started with the Model  
 ```python
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-tokenizer = AutoTokenizer.from_pretrained("vngrs-ai/VBART-Large-Title-Generation-from-News",
+tokenizer = AutoTokenizer.from_pretrained("vngrs-ai/VBART-XLarge-Title-Generation-from-News",
                             model_input_names=['input_ids', 'attention_mask'])
 # Uncomment the device_map kwarg and delete the closing bracket to use model for inference on GPU
-model = AutoModelForSeq2SeqLM.from_pretrained("vngrs-ai/VBART-Large-Title-Generation-from-News")#, device_map="auto")
+model = AutoModelForSeq2SeqLM.from_pretrained("vngrs-ai/VBART-XLarge-Title-Generation-from-News")#, device_map="auto")
 
 input_text="..."