Instructions to use mrfakename/styletts2-detector-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrfakename/styletts2-detector-turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mrfakename/styletts2-detector-turbo")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("mrfakename/styletts2-detector-turbo") model = AutoModelForAudioClassification.from_pretrained("mrfakename/styletts2-detector-turbo") - Notebooks
- Google Colab
- Kaggle
A larger version of the StyleTTS 2 detector.
Basically the same model as the previous one but using Whisper V3 Turbo as the base instead of Whisper Base.
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