Update README.md

README.md

@@ -33,25 +33,6 @@ The model was finetuned using the Unsloth library, leveraging its efficient trai
 - **Language**: English (`en`)
 - **License**: Apache-2.0
 
-## Usage
-
-### Loading the Model
-
-You can load the model and tokenizer using the following code snippet:
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-# Load the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("inetnuc/llama-3-8b-chat-nuclear")
-model = AutoModelForCausalLM.from_pretrained("inetnuc/llama-3-8b-chat-nuclear")
-
-# Example of generating text
-inputs = tokenizer("what is the iaea approach for cyber security?", return_tensors="pt")
-outputs = model.generate(**inputs, max_new_tokens=128)
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))
-
-
 ## Files and Versions
 
 | File Name                        | Description                                      |
@@ -81,3 +62,25 @@ MUSTAFA UMUT OZBEK
 ## Contact
 https://www.linkedin.com/in/mustafaumutozbek/
 https://x.com/m_umut_ozbek
+
+
+## Usage
+
+### Loading the Model
+
+You can load the model and tokenizer using the following code snippet:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained("inetnuc/llama-3-8b-chat-nuclear")
+model = AutoModelForCausalLM.from_pretrained("inetnuc/llama-3-8b-chat-nuclear")
+
+# Example of generating text
+inputs = tokenizer("what is the iaea approach for cyber security?", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=128)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+
+
+