Instructions to use vincentlui/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vincentlui/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vincentlui/test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("vincentlui/test") model = AutoModelForCTC.from_pretrained("vincentlui/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbae36386a3638c3432fe603ddfdd61edb29ac95869bc5ba5f675c5c7ed3d5b1
- Size of remote file:
- 3.96 kB
- SHA256:
- 90ba9cd7e4c5814e0019b61f2c4429de9c3d7aeefe2ce6c512dca43e9cb2a49e
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