Instructions to use anderloh/wav2vec2-2ClassEasyValidateMic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/wav2vec2-2ClassEasyValidateMic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/wav2vec2-2ClassEasyValidateMic")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/wav2vec2-2ClassEasyValidateMic") model = AutoModelForAudioClassification.from_pretrained("anderloh/wav2vec2-2ClassEasyValidateMic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 966f74c1b35f92d6c52ace355b33d6683a4992e4d390a3190725c78891613ba9
- Size of remote file:
- 4.98 kB
- SHA256:
- 58bd9b09ba3f29612d7f52e67993d0cd99fcc0977edd4191fbef2492fc39d6d4
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