Instructions to use universalml/test27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalml/test27 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="universalml/test27")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("universalml/test27") model = AutoModelForAudioClassification.from_pretrained("universalml/test27", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec5cb9938dc695ee59d1a38cde034b7800543698b39b14b90c2433381f7b23a8
- Size of remote file:
- 4.09 kB
- SHA256:
- 0b594c97453111843ffdf998bc2ad48378daeedac77f105de14e708d05684923
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