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--- |
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language: "en" |
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license: "mit" |
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tags: |
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- toy-model |
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- beginner |
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- number |
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- demo |
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- simple |
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model_type: "custom" |
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pipeline_tag: "other" |
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--- |
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# 🧠 Double Model |
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A tiny demonstration model that simply **doubles any number** you give it. |
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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/). |
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--- |
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## 📦 How It Works |
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The model has one method: |
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```python |
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def predict(number): |
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return number * 2 |
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``` |
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That’s it. No training, no weights — just logic. |
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--- |
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## 🛠️ Usage Example |
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```python |
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from double_model import DoubleModel |
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model = DoubleModel() |
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print(model.predict(10)) # ➜ 20 |
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``` |
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If you're loading from a `.pkl` file: |
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```python |
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import pickle |
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with open("double_model.pkl", "rb") as f: |
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model = pickle.load(f) |
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print(model.predict(7)) # ➜ 14 |
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``` |
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--- |
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## 📁 Files Included |
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- `double_model.py` — the model class |
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- `double_model.pkl` — the pickled version of the model |
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- `README.md` — model card |
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--- |
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## 📄 License |
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This project is licensed under the [MIT License](https://opensource.org/licenses/MIT). |
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--- |
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## ✨ Why This Exists |
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To demonstrate: |
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- How to create simple Python-based models |
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- How to package and upload to Hugging Face Hub |
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- How even non-ML logic can be versioned and shared like models |
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--- |
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## 🤖 Author |
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[goldendevuz](https://huggingface.co/goldendevuz) |
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