docs: enhance README.md with detailed model description and usage examples

README.md

@@ -6,8 +6,89 @@ tags:
 - pytorch
 - custom-model
 - hello-world
+- demo
+- example
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
 # Hello World AI Model
 
 [![HuggingFace](https://img.shields.io/badge/huggingface-%23FFD21E.svg?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/vinothkannans/hello-world)
+
+A simple demonstration model built with Hugging Face Transformers that always returns "Hello World". This model serves as a minimal example of creating custom models using the Transformers library.
+
+## Model Description
+
+The Hello World AI Model is a custom PyTorch model that extends `PreTrainedModel` from the Hugging Face Transformers library. It's designed as a learning example and template for building custom models.
+
+- **Developed by:** Vinoth Kannan
+- **Model type:** Custom PyTorch Model
+- **Language(s):** English
+- **License:** MIT
+
+## Model Details
+
+### Model Architecture
+
+The model consists of:
+- A single linear layer (`nn.Linear(1, 1)`) for demonstration purposes
+- A forward method that returns `{"text": "Hello World"}` regardless of input
+
+### Training
+
+This is a demonstration model and does not require training. It's a static model that always returns the same output.
+
+## Usage
+
+### Using Transformers
+
+```python
+from transformers import AutoModel, AutoConfig
+
+# Load the model
+model = AutoModel.from_pretrained("vinothkannans/hello-world")
+config = AutoConfig.from_pretrained("vinothkannans/hello-world")
+
+# Use the model
+output = model.forward()
+print(output)  # {'text': 'Hello World'}
+```
+
+### Using PyTorch
+
+```python
+import torch
+from transformers import AutoModel
+
+model = AutoModel.from_pretrained("vinothkannans/hello-world")
+model.eval()
+
+with torch.no_grad():
+    output = model.forward()
+    print(output)  # {'text': 'Hello World'}
+```
+
+## Model Card Contact
+
+For questions or issues, please contact [vinothkannans](https://huggingface.co/vinothkannans) on Hugging Face.
+
+## Limitations
+
+This is a demonstration model for the learing production purposes. It always returns the same output regardless of input.
+
+## Citation
+
+```bibtex
+@misc{hello-world-model,
+  author = {Vinoth Kannan},
+  title = {Hello World AI Model},
+  year = {2025},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/vinothkannans/hello-world}}
+}
+```
+
+## License
+
+This model is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.