Model Details
Full Model IDMattyB95/AST-VoxCelebSpoof-Synthetic-Voice-Detection
Pipeline / Taskaudio-classification
Librarytransformers
Downloads (all-time)121.5K
Likes4
Last Modified1/31/2024
Author / OrgMattyB95
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("audio-classification", model="MattyB95/AST-VoxCelebSpoof-Synthetic-Voice-Detection")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerstensorboardsafetensorsaudio-spectrogram-transformeraudio-classificationgenerated_from_trainerendataset:MattyB95/VoxCelebSpoofbase_model:MIT/ast-finetuned-audioset-10-10-0.4593base_model:finetune:MIT/ast-finetuned-audioset-10-10-0.4593license:mitendpoints_compatibleregion:us
More audio-classification Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: audio-classification
This model is designed for the audio-classification task. Explore more models for this use case.
All audio-classification Models →📊 Popularity
⬇ Downloads121.5K
❤️ Community Likes4
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.