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:
- e8caf5723fbab318b2b5403b79bafad80d507cbd5608b4ea52022358f108574f
- Size of remote file:
- 290 MB
- SHA256:
- c81f46c9ff295d74e0b5381185df146422d0343386f061cbfc5b3deb29cb90ce
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