Update README.md

README.md

@@ -44,42 +44,3 @@ It is suitable for fine-tuning on tasks such as:
 ### Recommendations
 - Users should ensure that applications using this model respect cultural and religious sensitivities.
 - Results should be verified by domain experts for critical applications.
-
-## How to Get Started with the Model
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-# Load the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("Ellbendls/Qwen-2.5-3b-Quran")
-model = AutoModelForCausalLM.from_pretrained("Ellbendls/Qwen-2.5-3b-Quran")
-
-# Move the model to GPU
-model.to("cuda")
-
-# Define the input message
-messages = [
-    {
-        "role": "user", 
-        "content": "Tafsirkan ayat ini اِهْدِنَا الصِّرَاطَ الْمُسْتَقِيْمَۙ"
-    }
-]
-
-# Generate the prompt using the tokenizer
-prompt = tokenizer.apply_chat_template(messages, tokenize=False, 
-                                       add_generation_prompt=True)
-
-# Tokenize the prompt and move inputs to GPU
-inputs = tokenizer(prompt, return_tensors='pt', padding=True, 
-                   truncation=True).to("cuda")
-
-# Generate the output using the model
-outputs = model.generate(**inputs, max_length=150, 
-                         num_return_sequences=1)
-
-# Decode the output
-text = tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-# Print the result
-print(text.split("assistant")[1])
-```