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vishodi/Last-Name-Classification

sourceHugging Facemitupdated 10mo agoView on Hugging Face
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Last Name Classification Model

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A Transformer-based classifier that checks if a provided last name is likely to be real (LABEL1) or **fake** (LABEL0). This can be helpful in validating contact form submissions, preventing bot entries, or for general name classification tasks.

Table of Contents

Project Structure

plaintext
Last_Name_Prediction/
├── .gitattributes
├── README.md
├── config.json
├── model.safetensors
├── requirements.txt
├── special_tokens_map.json
├── tokenizer.json
├── tokenizer_config.json
└── vocab.txt

Installation

  1. 1.Clone the Repository:
bash
git clone https://github.com/Vishodi/Last-Name-Classification.git
  1. 1.Set Up the Environment: Install the required packages using pip:
bash
pip install -r requirements.txt

Usage

python
from transformers import pipeline

# Replace with your model repository
model_dir = "vishodi/Last-Name-Classification"

# Load the model pipeline with authentication
classifier = pipeline(
    "text-classification",
    model=model_dir,
    tokenizer=model_dir,
)

# Test the model
test_names = ["musk", "zzzzzz", "uhyhu", "trump"]
for name in test_names:
    result = classifier(name)
    label = result[0]['label']
    score = result[0]['score']
    print(f"Name: {name} => Prediction: {label}, Score: {score:.4f}")

Output:

Name: musk   => Prediction: LABEL_1, Score: 0.9167
Name: zzzzzz => Prediction: LABEL_0, Score: 0.9991
Name: uhyhu  => Prediction: LABEL_0, Score: 0.9944
Name: trump  => Prediction: LABEL_1, Score: 0.9998

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License

This project is licensed under the MIT License.