Instructions to use obadx/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obadx/test-model with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("obadx/test-model") model = AutoModelForAudioFrameClassification.from_pretrained("obadx/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fd7992c36a7ff0e84fc960fb980c265f67bde15b88081858a354c7b3bed075a
- Size of remote file:
- 5.3 kB
- SHA256:
- 8a42eea92c281f5838a526b8ffa9b9ebe046d39e16ced7bc947e952631080907
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