Instructions to use ahyar002/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahyar002/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ahyar002/audio_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("ahyar002/audio_classification") model = AutoModelForAudioClassification.from_pretrained("ahyar002/audio_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e281ce63934e20624c5663787d562f869bb62f860f35a80ad4879f5e9b0de67
- Size of remote file:
- 378 MB
- SHA256:
- 1ee0e8661f7687b6f37096e4c94522e415aee217374f233b04547afaa5691527
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