Instructions to use Vizzy/doorbot_wav2vec2_finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vizzy/doorbot_wav2vec2_finetuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Vizzy/doorbot_wav2vec2_finetuned_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Vizzy/doorbot_wav2vec2_finetuned_model") model = AutoModelForAudioClassification.from_pretrained("Vizzy/doorbot_wav2vec2_finetuned_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e24c86086b0fd4f91cafe2dbb7afb33d914f7b62333bc83fa93a734327710693
- Size of remote file:
- 757 MB
- SHA256:
- 55aea6f8ef908c2b0c796420dea5573b1e18caa8685fced4a0e01b795dd7fbc9
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