Instructions to use sabarinath/Apollo-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sabarinath/Apollo-V1 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://sabarinath/Apollo-V1") - Notebooks
- Google Colab
- Kaggle
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Verified signatureA deep learning model for audio classification, designed to detect AI-generated music. ## Model: EfficientNetB0 (Transfer Learning) ##Framework: TensorFlow / Keras ##Task: Binary Classification (AI Music vs. Real Music) ## Input: Mel Spectrograms (224x224) generated from audio files. Training Data: Trained on a balanced dataset of hundreds of modern songs from sources like the Free Music Archive, NCS, and the Suno AI dataset on Kaggle, all standardized to a consistent bitrate.5e8dd69 -
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