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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed44caa9682b4fa3f00f9226d91b8804b4459e91704cf11a88107834b7c0ca81
- Size of remote file:
- 290 MB
- SHA256:
- 22831f1d2269bcb6390f1db967ec1ac885a9694ef3ace008fd181228ec908e1b
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