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)
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the HF Inference API does not support keras models with pipeline type audio-classification