Instructions to use gloryadeleru/CNN-Gender-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use gloryadeleru/CNN-Gender-Classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://gloryadeleru/CNN-Gender-Classifier") - Notebooks
- Google Colab
- Kaggle
# CNN Gender & Age Classifier
This repository contains a trained **CNN-based TensorFlow/Keras model**.
## Tasks
- Gender classification (Male / Female)
- Age range prediction from facial images
## Model File
- best\_multi\_output\_model.h5
## How to Load the Model
import tensorflow as tf
model = tf.keras.models.load\_model(
"best\_multi\_output\_model.h5",
compile=False
)
- Downloads last month
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# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://gloryadeleru/CNN-Gender-Classifier")