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:
- acaa972f54f8c977cc8f1819488cbe027cd5abd0c94e82c6042085b4494826ca
- Size of remote file:
- 378 MB
- SHA256:
- b1dc132817ad5ed2c345d785cf68b51b646e647fb2571d3e9d81803c0b7e2a3e
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