Update README.md

README.md

@@ -15,7 +15,7 @@ pipeline_tag: text-generation
 
 ## 🎯 Model Overview
 
-This is a **specialized language model** fine-tuned from lakhera2023/Qwen-model specifically for **DevOps tasks and operations only**.
+This is a **specialized language model** specifically for **DevOps tasks and operations only**.
 
 ## ⚠️ Important Notice
 
@@ -44,26 +44,7 @@ The model specializes in:
 
 ### Basic Usage
 
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-# Load your complete DevOps model directly
-model = AutoModelForCausalLM.from_pretrained("lakhera2023/devops-slm-v1")
-tokenizer = AutoTokenizer.from_pretrained("lakhera2023/devops-slm-v1")
-
-# Generate response (model has built-in DevOps filtering)
-def generate_devops_response(prompt):
-    inputs = tokenizer(prompt, return_tensors="pt")
-    outputs = model.generate(**inputs, max_new_tokens=200, temperature=0.7)
-    return tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-# Example usage
-response = generate_devops_response("How do I create a Kubernetes deployment?")
-print(response)
-
-# Note: The model automatically filters non-DevOps questions
-# and redirects them back to DevOps topics
-```
+https://colab.research.google.com/drive/1UgTUI6AeVnSlknHoF3cEDhWLHYirghju?usp=sharing
 
 ### Example Queries
 
@@ -88,7 +69,7 @@ print(response)
 
 - **Base Model**: lakhera2023/Qwen-model
 - **Architecture**: Transformer-based with LoRA fine-tuning
-- **Training**: 30,000+ DevOps-specific examples
+- **Training**: DevOps-specific examples
 - **Specialization**: Fine-tuned for DevOps tasks only
 
 ## 📊 Performance