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:
- 686fd8240587da2ab7967ef6557611cebb59ea224709ef9b2fb4b7466b6eb5eb
- Size of remote file:
- 2.32 GB
- SHA256:
- 8ed6845db87a704323ab5dd6419cf2bc4aef4d2d0f5e6a6a82729d446f4f674c
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