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:
- 65410799abd5b0eecaa6e94dad8302d818b97854fac8c575e06a264f4c2c0d91
- Size of remote file:
- 4.98 kB
- SHA256:
- 9b6726589367c23b1efa62290bc2971817a9662afced731d17d38d636f14caac
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