Instructions to use nh0znoisung/hubert-large-timit-upsample-4-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nh0znoisung/hubert-large-timit-upsample-4-50 with Transformers:
# Load model directly from transformers import AutoProcessor, HubertForCTCWithUpsample processor = AutoProcessor.from_pretrained("nh0znoisung/hubert-large-timit-upsample-4-50") model = HubertForCTCWithUpsample.from_pretrained("nh0znoisung/hubert-large-timit-upsample-4-50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0c985fd5cfb57311c823347f2a56178933c5661a7f36b1f31e31cd564b2e3b5
- Size of remote file:
- 5.37 kB
- SHA256:
- 84d4c701d69751c02d065c9f5979ec08f0c4e7ec0425b97e107da187934ba3c1
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