Digitaledutransformers

🚀 DigitalEdu Transformers Model

This is a model for the DigitalEdu competition, leveraging transformers and trained for 9 epochs, designed for tabular classification in the finance domain.

🚀 Quick Start

The model is trained for tabular classification tasks. You can load and use it as follows:

from transformers import AutoModel
model = AutoModel.from_pretrained("SnowFlash383935/DigitalEduTransformers", trust_remote_code=True)
model([
    [1, 1, 1, 150, 2, 0, 0],
    [0, 1, 1, 294, 0, 0, 0],
])

The example output is: [False, True]

✨ Features

Input Parameters

• Gender
• Whether has a photo
• Whether the phone is bound
• Number of followers
• Marital status
• What matters most in life
• What matters most in people

📦 Installation

Since this model uses the transformers library, you need to install it first. You can use the following command:

pip install transformers

💻 Usage Examples

Basic Usage

from transformers import AutoModel
model = AutoModel.from_pretrained("SnowFlash383935/DigitalEduTransformers", trust_remote_code=True)
model([
    [1, 1, 1, 150, 2, 0, 0],
    [0, 1, 1, 294, 0, 0, 0],
])

Output Example

The output of the above code example is: [False, True]

📚 Documentation

Model Metrics

• Accuracy

Model Tags

• Finance

Library Used

• transformers

Model Pipeline

• Tabular Classification

📄 License

This project is licensed under the GPL-3.0 license.