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:
- ce837243b27f523d2beda1fff7cd07cd8f264402e914791f4569f599e66c611b
- Size of remote file:
- 378 MB
- SHA256:
- 94ef3b7f43fae789d5613ce8b55a1e550b5da711be00df9f807317d2caefed84
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