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:
- 3e8af01d0b6c4ec539ac431969ccb49dadf8a61b578ece32d39d6e694e2fdd47
- Size of remote file:
- 4.98 kB
- SHA256:
- 289fe649098aae58c7446c203907a2f48db6ab11d90b8cfece615f4d32cd7b0a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.