Instructions to use assoni2002/wav2vec2-jailbreak-classification_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use assoni2002/wav2vec2-jailbreak-classification_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="assoni2002/wav2vec2-jailbreak-classification_new")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("assoni2002/wav2vec2-jailbreak-classification_new") model = AutoModelForAudioClassification.from_pretrained("assoni2002/wav2vec2-jailbreak-classification_new") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfeb52bdfb4ef5bf897e577ab40432c286519abbcb7a0c1cf26fe73300eb86f1
- Size of remote file:
- 5.84 kB
- SHA256:
- 5a89eec9504e4a0620726e90899ce87d6c9bf94418d28162b42f8b0fb736273d
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