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:
- a546361db10039f01c1e0855901d8f6b9c993149b1923af1f7daa762e20fbbff
- Size of remote file:
- 290 MB
- SHA256:
- 87cbd531d0720b5cbbf3f5212fdceeceb67ecfceaa6c79c40e4bc4283baa0628
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