Instructions to use WWWxp/wav2vec2_spoof_dection1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WWWxp/wav2vec2_spoof_dection1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="WWWxp/wav2vec2_spoof_dection1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("WWWxp/wav2vec2_spoof_dection1") model = AutoModelForAudioClassification.from_pretrained("WWWxp/wav2vec2_spoof_dection1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 672
Browse files
pytorch_model.bin
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runs/Apr22_18-15-19_6049GP-TRT/events.out.tfevents.1682158524.6049GP-TRT.3880470.0
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