add example of readme

README.md

@@ -27,6 +27,33 @@ widget:
 
 # T5-Reverse (T5R)
 
-This model can generate prompts (instruction) for any text!
+This model can generate prompts (instructions) for any text!
 
 This model is an instruction-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on [alpaca dataset](https://huggingface.co/datasets/tatsu-lab/alpaca) but in **reverse format**!
+
+## How to Use the Model
+
+You can use the `transformers` library to load and utilize the T5-Reverse (T5R) model for generating prompts based on text. Here's an example of how to do it:
+
+```python
+# Import required libraries
+import torch
+from transformers import pipeline
+
+# Load the model and tokenizer using the pipeline from Hugging Face Hub
+inference = pipeline("text2text-generation", model="kargaranamir/T5R-base")
+
+# Example instruction and prompt
+sample = '''
+Instruction: X
+Output: 1- Base your meals on higher fibre starchy carbohydrates. 2- Eat lots of fruit and veg. 3- Eat more fish, including a portion of oily fish.
+What kind of instruction could this be the answer to?
+X:
+'''
+
+# Generate a response using the model
+res = inference(sample)
+
+# Print the generated response
+print(res)
+>> [{'generated_text': 'Instruction: Generate three recommendations for a healthy diet.'}]