Instructions to use DavidCombei/wav2vec2-base-ASVSpoof5_TUC-N with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidCombei/wav2vec2-base-ASVSpoof5_TUC-N with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="DavidCombei/wav2vec2-base-ASVSpoof5_TUC-N")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("DavidCombei/wav2vec2-base-ASVSpoof5_TUC-N") model = AutoModelForAudioClassification.from_pretrained("DavidCombei/wav2vec2-base-ASVSpoof5_TUC-N", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot