Quranic Maqam Classification using Deep Learning

Model Description

This is a deep learning model trained using TensorFlow/Keras and saved as an .h5 file. It is designed for classifying Quranic maqams.

Model Details

  • Architecture: ANN
  • Framework: TensorFlow / Keras
  • Input Shape: (478, 26)
  • Dataset: Maqam-478 Dataset

How to Use

Install Dependencies

pip install tensorflow huggingface_hub

Load Model from Hugging Face

from huggingface_hub import hf_hub_download
import tensorflow as tf

model_path = hf_hub_download(repo_id="FatimahAlzahrani/quran_maqam_classification", filename="model.h5")

model = tf.keras.models.load_model(model_path)
Downloads last month
0
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The HF Inference API does not support audio-classification models for keras library.