Instructions to use flaviaGarcia/audio_model_1_epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flaviaGarcia/audio_model_1_epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="flaviaGarcia/audio_model_1_epoch")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("flaviaGarcia/audio_model_1_epoch") model = AutoModelForAudioClassification.from_pretrained("flaviaGarcia/audio_model_1_epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7e22d0ac79d5439ee5d60e5f1ab1f1d2cd9e0f42bddfbf93c362bc33144b496
- Size of remote file:
- 3.96 kB
- SHA256:
- 656bb88d7b35736812beb3ce58367ae6f44a6567d20d5d5bbbcfb2311b89168b
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