Instructions to use Gizachew/ckpts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gizachew/ckpts with Transformers:
# Load model directly from transformers import AutoProcessor, HubertForSpeechClassification processor = AutoProcessor.from_pretrained("Gizachew/ckpts") model = HubertForSpeechClassification.from_pretrained("Gizachew/ckpts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72c4b95896307caa7243d4853ad7a9f4d79774f5ae6c4fe59c89696b4f4d1588
- Size of remote file:
- 380 MB
- SHA256:
- 5823ad5dc453f63bc711ccd08c86437beecb7c407032319c5660cf83beb4b2fd
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