Instructions to use seba3y/whisper-tiny-accuracy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seba3y/whisper-tiny-accuracy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="seba3y/whisper-tiny-accuracy")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("seba3y/whisper-tiny-accuracy") model = AutoModelForAudioClassification.from_pretrained("seba3y/whisper-tiny-accuracy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2a33be03fdb22bfe460285730d7ea3c5efc35be93931922e31468c6709a799e
- Size of remote file:
- 31.5 MB
- SHA256:
- 00f5190284be75b6e6432feba55d64b61a6305280f0179bd103ad4f50df371b3
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