Update README.md

README.md

@@ -32,4 +32,30 @@ To use the Urdu Paraphrase Generation Model, follow these steps:
 1. Install the `transformers` library:
 ```bash
 pip install transformers
-```
+```
+2. Load the model and tokenizer in your Python script:
+```
+from transformers import AutoModelForMaskedLM, AutoTokenizer
+
+# Load the model and tokenizer
+model = AutoModelForMaskedLM.from_pretrained("urduhack/roberta-urdu-small")
+tokenizer = AutoTokenizer.from_pretrained("urduhack/roberta-urdu-small")
+```
+## Generating Paraphrases
+Use the following code snippet to generate paraphrases with the loaded model and tokenizer:
+```
+# Example sentence
+input_sentence = "This is an example sentence."
+
+# Tokenize the input sentence
+inputs = tokenizer(input_sentence, truncation=True, padding=True, return_tensors="pt")
+input_ids = inputs.input_ids.to(model.device)
+attention_mask = inputs.attention_mask.to(model.device)
+
+# Generate paraphrase
+with torch.no_grad():
+    outputs = model.generate(input_ids, attention_mask=attention_mask, max_length=128)
+
+paraphrase = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print("Paraphrase:", paraphrase)
+```