Instructions to use anderloh/PushToHubModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/PushToHubModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/PushToHubModel")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/PushToHubModel") model = AutoModelForAudioClassification.from_pretrained("anderloh/PushToHubModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b93a852a39bf78dc613a76a73ed4d6165d7abe8ead2417926b3f1cf7a2dee4bb
- Size of remote file:
- 52.2 MB
- SHA256:
- c942a2853cd043f57b6e35681f388d35d19c02c1bc45894ed8413c3578495ef3
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