Instructions to use anagavaram/baby-gender-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use anagavaram/baby-gender-predictor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("anagavaram/baby-gender-predictor", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Baby Gender Predictor
Predicts baby gender using:
- Name features (length, ending letters, vowel patterns) โ ~90% accuracy
- Growth measurements (age, height, weight, BMI) โ ~70% accuracy
Usage
import joblib
model = joblib.load('name_gender_model.pkl')
Datasets
- SSA Baby Names (1980โ2022)
- WHO Child Growth Standards
- Downloads last month
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