---
language: "en"
license: "mit"
tags:
  - toy-model
  - beginner
  - number
  - demo
  - simple
model_type: "custom"
pipeline_tag: "other"
---

# 🧠 Double Model

A tiny demonstration model that simply **doubles any number** you give it.

This is **not a machine learning model**, but a toy example to show how to upload custom models to [Hugging Face Hub](https://huggingface.co/).

---

## 📦 How It Works

The model has one method:

```python
def predict(number):
    return number * 2
```

That’s it. No training, no weights — just logic.

---

## 🛠️ Usage Example

```python
from double_model import DoubleModel

model = DoubleModel()
print(model.predict(10))  # ➜ 20
```

If you're loading from a `.pkl` file:

```python
import pickle

with open("double_model.pkl", "rb") as f:
    model = pickle.load(f)

print(model.predict(7))  # ➜ 14
```

---

## 📁 Files Included

- `double_model.py` — the model class  
- `double_model.pkl` — the pickled version of the model  
- `README.md` — model card

---

## 📄 License

This project is licensed under the [MIT License](https://opensource.org/licenses/MIT).

---

## ✨ Why This Exists

To demonstrate:
- How to create simple Python-based models
- How to package and upload to Hugging Face Hub
- How even non-ML logic can be versioned and shared like models

---

## 🤖 Author

[goldendevuz](https://huggingface.co/goldendevuz)