Update README.md

README.md

@@ -2,7 +2,7 @@
 language:
 - en
 base_model:
-- TinyLlama/TinyLlama-1.1B-Chat-v1.0
+- google/gemma-3-1b-it
 pipeline_tag: text-generation
 library_name: transformers
 ---
@@ -83,48 +83,3 @@ there is a unique professional skill that builds with each challenge..."
 ```
 
 **Supporting your supporters is the smartest business decision you'll make this year.**
-
----
-
-Guide to create your own model just using prompt:
-
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM
-from huggingface_hub import login, HfApi
-
-def authenticate_with_hub(token):
-    """Authenticate with Hugging Face using your token"""
-    login(token=token)
-    print("Successfully logged in!")
-
-def push_model_to_hub(model_id, model, tokenizer, commit_message="Update model"):
-    """Push model and tokenizer to Hugging Face Hub"""
-    model.push_to_hub(model_id, commit_message=commit_message)
-    tokenizer.push_to_hub(model_id, commit_message=commit_message)
-    print(f"Model pushed to {model_id}")
-
-def set_model_with_prompt(base_model_id, system_prompt):
-    """Load model and prepare it with your system prompt"""
-    tokenizer = AutoTokenizer.from_pretrained(base_model_id)
-    model = AutoModelForCausalLM.from_pretrained(base_model_id)
-    tokenizer.init_kwargs["chat_template"] = system_prompt
-    print("Model loaded successfully")
-    
-    return model, tokenizer
-
-def main():
-    # Replace with your information
-    HF_TOKEN = "YOUR_HUGGINGFACE_ACCESS_TOKEN"
-    YOUR_MODEL_ID = "<your_username>/<your_model_name>"
-    BASE_MODEL_ID = "<base_model_username>/<base_model_name>"
-    SYSTEM_PROMPT = """ENTER SYSTEM PROMPT HERE"""
-    
-    authenticate_with_hub(HF_TOKEN)
-    model, tokenizer = set_model_with_prompt(BASE_MODEL_ID, SYSTEM_PROMPT)
-    push_model_to_hub(YOUR_MODEL_ID, model, tokenizer, "Update with custom prompt template")
-    
-    print("Process completed successfully!")
-
-if __name__ == "__main__":
-    main()
-```