Update README.md

README.md

@@ -18,9 +18,9 @@ To use the model `bhavinjawade/SOLAR-10B-OrcaDPO-Jawade`, follow these steps:
 
    ```python
    from transformers import AutoModelForCausalLM, AutoTokenizer
-
    model = AutoModelForCausalLM.from_pretrained("bhavinjawade/SOLAR-10B-OrcaDPO-Jawade")
-   tokenizer = AutoTokenizer.from_pretrained("bhavinjawade/SOLAR-10B-OrcaDPO-Jawade")```
+   tokenizer = AutoTokenizer.from_pretrained("bhavinjawade/SOLAR-10B-OrcaDPO-Jawade")
+   ```
 
 2. **Format the Prompt**
 Format the chat input as a list of messages, each with a role ('system' or 'user') and content.
@@ -30,7 +30,8 @@ Format the chat input as a list of messages, each with a role ('system' or 'user
         {"role": "system", "content": "You are a helpful assistant chatbot."},
         {"role": "user", "content": "Is the universe real? or is it a simulation? whats your opinion?"}
     ]
-    prompt = tokenizer.apply_chat_template(message, add_generation_prompt=True, tokenize=False)```
+    prompt = tokenizer.apply_chat_template(message, add_generation_prompt=True, tokenize=False)
+    ```
 
 3. **Create a Pipeline**
 Set up a pipeline for text generation with the loaded model and tokenizer.
@@ -40,12 +41,14 @@ Set up a pipeline for text generation with the loaded model and tokenizer.
         "text-generation",
         model=model,
         tokenizer=tokenizer
-    )```
+    )
+    ```
 
 4. **Generate Text**
 Use the pipeline to generate a sequence of text based on the prompt. You can adjust parameters like temperature and top_p for different styles of responses.
 
-   ```sequences = pipeline(
+   ```python
+   sequences = pipeline(
    prompt,
    do_sample=True,
     temperature=0.7,
@@ -53,7 +56,8 @@ Use the pipeline to generate a sequence of text based on the prompt. You can adj
     num_return_sequences=1,
     max_length=200,
 )
-    print(sequences[0]['generated_text'])```
+    print(sequences[0]['generated_text'])
+    ```
 
 This setup allows you to utilize the capabilities of the **bhavinjawade/SOLAR-10B-OrcaDPO-Jawade** model for generating responses to chat inputs.