Instructions to use LevonHakobyan/linear_schedule_with_warmup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LevonHakobyan/linear_schedule_with_warmup with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LevonHakobyan/linear_schedule_with_warmup")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("LevonHakobyan/linear_schedule_with_warmup") model = AutoModelForCTC.from_pretrained("LevonHakobyan/linear_schedule_with_warmup") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd3737960b43bca1fedc7e9f16ec93ec84e5662382e76687e287887b9f9d4c1a
- Size of remote file:
- 5.11 kB
- SHA256:
- f9bf48fc86201f76ac4e555fb8fbdb2a70c3d68f05458ffd7e7f608921f70d11
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