Audio Classification
Transformers
Safetensors
multilingual
wav2vec2-dual-hypersphere
audio-deepfake
deepfake-detection
deepfake
SoTA
Modotte
custom_code
Instructions to use Modotte/AIRealNet-Audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Modotte/AIRealNet-Audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Modotte/AIRealNet-Audio", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("Modotte/AIRealNet-Audio", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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**Default decision threshold**: 0.5 (tune per use-case).
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## Architecture
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**Default decision threshold**: 0.5 (tune per use-case).
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[Click Here for Inference](https://huggingface.co/spaces/sujalrajpoot/AIRealNetAudio)
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## Architecture
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