Instructions to use jeromesky/consistency_accuracy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeromesky/consistency_accuracy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="jeromesky/consistency_accuracy")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("jeromesky/consistency_accuracy") model = AutoModelForAudioClassification.from_pretrained("jeromesky/consistency_accuracy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d633bdbc930177d69afb1d730e78f61625c012c22e53d8efde5d22e8d80b1a8
- Size of remote file:
- 5.11 kB
- SHA256:
- 4e41f971792298c9894e3241e2c72ff11b98e8cd481cc0d6cef49efa8374c0fc
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