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:
- 5c309050d8e9c07283083eba985b00b7aa54b122fe2fb5dc07af0384fa4e7426
- Size of remote file:
- 378 MB
- SHA256:
- 7c4abfce5ed059c51ee387266ac3b9f3b4953d79bb865df4c3e1b464919d4a91
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