Instructions to use thisiskeithkwan/cantomed-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thisiskeithkwan/cantomed-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thisiskeithkwan/cantomed-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thisiskeithkwan/cantomed-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("thisiskeithkwan/cantomed-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62370cce5807fec87ee006f9f16d447b093d7222e0c888e49b078b2805f118f5
- Size of remote file:
- 4.16 kB
- SHA256:
- ef2d281d49afcc7a4f760a14deed69ce13440eaca39ad95a99f8b867627439a3
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