62 lines
2.1 KiB
Markdown
62 lines
2.1 KiB
Markdown
# VeraMind
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**VeraMind** is a fine-tuned machine learning model designed to predict whether a news article is real or fake. Built using the Hugging Face Transformers library and PyTorch, the `VeraMind-Mini` model is optimized for binary text classification tasks.
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## Features
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- **Real or Fake Prediction**: Classifies news articles as "REAL" or "FAKE."
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- **Confidence Score**: Provides a numerical confidence score for each prediction.
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- **Fine-Tuned Model**: Uses `VeraMind-Mini`, a fine-tuned version of [fabelous-albert-uncased](https://gitea.fabelous.app/Fabel/Fabelous-albert-uncased), for robust and reliable predictions.
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## Downloading the Model
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You can download the `VeraMind-Mini` model from the following link:
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[Download VeraMind-Mini Model](https://gitea.fabelous.app/Fabel/VeraMind/releases/download/latest/VeraMind-Mini.zip)
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## Usage Example
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The example below demonstrates how to use the `VeraMindInference` class to evaluate the authenticity of a news article:
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```python
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from src.Inference import VeraMindInference
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# Load the model
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model = VeraMindInference("path/to/VeraMind-Mini")
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# Example news article text
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text = "This is an example News Article"
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# Predict if the news is real or fake
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result = model.predict(text)
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print(result)
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```
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Output:
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```python
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{'result': 'FAKE', 'confidence': 0.9990140199661255}
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```
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## Disclaimer
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This project is provided "as-is" without any warranties. While the model strives for accuracy, it may make mistakes. Always verify predictions by consulting multiple reliable sources. Use this tool responsibly.
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## License
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This project is licensed under the [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)](https://creativecommons.org/licenses/by-nc-nd/4.0/). You may use and share this software privately, but must credit the authors, refrain from commercial use, and avoid creating derivative works.
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## Feedback and Support
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If you encounter any issues or have questions, feel free to reach out through the project's [Gitea Issues page](https://gitea.fabelous.app/Fabel/Fabelous-albert-uncased/issues) or contact our support team at support@fabelous.app. |