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:
- e68c1537fd3802085259d0b4f752e14ee466699fabd1edcd27ee7b5eedb01bda
- Size of remote file:
- 4.98 kB
- SHA256:
- daaa0b4a93f85368b43f101e246d27c22a452572c0bfe748391dedcf6d502de9
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