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2025.07.08/14:21
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README.md
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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(
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```
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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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# π§ 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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## π¦ 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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Thatβs it. No training, no weights β just logic.
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---
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## π οΈ 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)) # β 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)) # β 14
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```
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---
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## π Files Included
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- `double_model.py` β the model class
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- `double_model.pkl` β the pickled version of the model
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- `README.md` β model card
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---
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## π 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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## β¨ 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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## π€ Author
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[goldendevuz](https://huggingface.co/goldendevuz)
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