Instructions to use LevonHakobyan/NO_adapter_testing_layer_updates_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LevonHakobyan/NO_adapter_testing_layer_updates_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LevonHakobyan/NO_adapter_testing_layer_updates_7")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("LevonHakobyan/NO_adapter_testing_layer_updates_7") model = AutoModelForCTC.from_pretrained("LevonHakobyan/NO_adapter_testing_layer_updates_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8534386cce6933719e38e7ff0597656e7b919e9580c8e4a27ef82429c0bd59cf
- Size of remote file:
- 5.18 kB
- SHA256:
- 1fe38f0e8e78746693088ed1c84efd0424e449c7c01096e7d1b0135ef2abd4db
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