Update README.md

README.md

@@ -31,30 +31,6 @@ The training and validation loss, along with BLEU and ChrF scores, were plotted
 - **BLEU Score**: Improved gradually but remained relatively low, indicating that further tuning may be needed.
 - **ChrF Score**: Showed a consistent increase, reflecting better character-level accuracy in translations.
 
-## How to Use
-
-### Model Loading
-You can load the model using the following code:
-
-```python
-from transformers import AutoModel, AutoTokenizer
-
-# Load the model and tokenizer
-model = AutoModel.from_pretrained("your-huggingface-username/your-model-name")
-tokenizer = AutoTokenizer.from_pretrained("your-huggingface-username/your-model-name")
-```
-
-### Translation Example
-To perform translation using the model:
-
-```python
-input_text = "Your input text here"
-inputs = tokenizer.encode(input_text, return_tensors="pt")
-outputs = model.generate(inputs)
-translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-print("Translated Text:", translated_text)
-```
 
 ## Files Included