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:
- d196976079568f05eb07b23560a214199f8c80705984bd5f45892a95a193bea1
- Size of remote file:
- 378 MB
- SHA256:
- cda41e3b2ed30f76728bf8b7cb59f966c96685f7dfb1383b896eccef6cdd8261
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