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 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 file for more details.