Instructions to use ittailup/hubert-large-gender-auto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ittailup/hubert-large-gender-auto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ittailup/hubert-large-gender-auto")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("ittailup/hubert-large-gender-auto") model = AutoModelForAudioClassification.from_pretrained("ittailup/hubert-large-gender-auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bbadc213c18abdd2939e75ab59e68a91171b229248b5f022a9ed970150bb944
- Size of remote file:
- 4.98 kB
- SHA256:
- fc80dcfa4103858ef4bc09382044b294d0730ff170115286641aec0e25beadf7
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