Instructions to use fydhfzh/hubert-classifier-aug-fold-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fydhfzh/hubert-classifier-aug-fold-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="fydhfzh/hubert-classifier-aug-fold-1")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("fydhfzh/hubert-classifier-aug-fold-1") model = AutoModelForAudioClassification.from_pretrained("fydhfzh/hubert-classifier-aug-fold-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea3ef12c2346745e308795564758573aff4ae0edbade4fefe5bbedbe43e6097d
- Size of remote file:
- 4.98 kB
- SHA256:
- 6eea8a1bffe77415447ba32c364141606b47da403b2337e42175c0a39cdd06ed
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