Create README.md

README.md

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+---
+tags:
+- google
+- google_titan
+---
+# Titan Model
+
+This is the **Titan model**, a state-of-the-art model trained to perform Text generation
+
+## Model Details
+
+- **Model Name**: Titan
+- **Version**: 1.0
+- **Model Type**: [Type of model, e.g., Transformer, CNN]
+- **Pretrained**: Yes/No
+- **License**: MIT (or any relevant license)
+- **Training Data**: [Brief description of the dataset used for training]
+- **Performance**: [Mention metrics such as accuracy, F1-score, etc.]
+- **Intended Use**: This model is intended to be used for [task]. Example use cases include:
+  - Task 1
+  - Task 2
+- **Limitations**: [Mention any limitations or biases present in the model]
+  
+## Usage
+
+```python
+from transformers import pipeline
+
+# Load the model
+model = pipeline('text-generation', model='rajveer43/titan-transformer')
+
+# Example usage
+output = model("What is the meaning of life?")
+print(output)