Instructions to use fydhfzh/hubert-classifier-aug-fold-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fydhfzh/hubert-classifier-aug-fold-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="fydhfzh/hubert-classifier-aug-fold-0")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("fydhfzh/hubert-classifier-aug-fold-0") model = AutoModelForAudioClassification.from_pretrained("fydhfzh/hubert-classifier-aug-fold-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2adc100b5e029647effcffc9b67bfd0626dd522862a9a6cdd63eaf333181d65
- Size of remote file:
- 378 MB
- SHA256:
- 2ed5ab15dffad6c1c76d0c0b4847451d0f7d847d129b00169712014a374fafc3
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