Audio Classification
Transformers
Safetensors
multilingual
wav2vec2-dual-hypersphere
audio-deepfake
deepfake-detection
deepfake
voice-cloning
anti-spoofing
asvspoof
wav2vec2
speech
audio
synthetic-voice
voice-conversion
tts-detection
trust-and-safety
security
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
Download assets/assistant.wav from Modotte/AIRealNet-Audio: direct link, hf CLI and curl.
- Browser
- Download file 1.38 MB
-
https://huggingface.co/Modotte/AIRealNet-Audio/resolve/main/assets/assistant.wav
- Command line
-
hf download hf://Modotte/AIRealNet-Audio/assets/assistant.wav
-
curl -L -o assistant.wav https://huggingface.co/Modotte/AIRealNet-Audio/resolve/main/assets/assistant.wav
1.38 MB
- Xet hash:
- 971f626b1f2985b80131aff0183634ba945e6eb3a15c150a7c994c6fcd5f8208
- Size of remote file:
- 1.38 MB
- SHA256:
- 976d73c3fe17f77ba1626c44bf3cf0f10a32d4c73e8057c6e426a4696fbee6da
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