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:
- 93aeb29e8e69a9b650495a107f954cd4d0633faf4580a39112cd078818b5b78b
- Size of remote file:
- 378 MB
- SHA256:
- 103f0f775bed2cdc046fec0f8b6d71d30d741170c3f84ab3c82d1c94e7fa2913
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