Update README.md

README.md

@@ -12,4 +12,38 @@ library_name: transformers
 tags:
 - code
 - text-generation-inference
----
+---
+
+# DevOps Mastermind Model
+
+This repository hosts the **DevOps Mastermind** model, a pre-trained model based on `microsoft/phi-2` with modifications tailored for specialized DevOps knowledge tasks. The model is designed to support various downstream tasks, such as code generation, documentation assistance, and knowledge inference in DevOps domains.
+
+## Model Details
+
+- **Base Model**: `microsoft/phi-2`
+- **Purpose**: Enhanced with additional training and modifications for DevOps and software engineering contexts.
+- **Files Included**:
+  - `config.json`: Model configuration.
+  - `pytorch_model.bin`: The primary model file containing weights.
+  - `tokenizer.json`: Tokenizer for processing text inputs.
+  - `added_tokens.json`: Additional tokens specific to DevOps vocabulary.
+  - `generation_config.json`: Generation configuration for text generation tasks.
+  - Other auxiliary files required for model usage and compatibility.
+
+## Usage
+
+To load and use this model in your code, run the following commands:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("kavinduc/devops-mastermind")
+tokenizer = AutoTokenizer.from_pretrained("kavinduc/devops-mastermind")
+
+# Example usage
+input_text = "Explain how to set up a CI/CD pipeline"
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs)
+generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(generated_text)