Instructions to use thisiskeithkwan/whisper-small-cantomed4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thisiskeithkwan/whisper-small-cantomed4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thisiskeithkwan/whisper-small-cantomed4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thisiskeithkwan/whisper-small-cantomed4") model = AutoModelForSpeechSeq2Seq.from_pretrained("thisiskeithkwan/whisper-small-cantomed4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daae8c9e2b25e4dc8f2f86cda6ae92075b7cc2e61239f9c0727ce267493cd4a3
- Size of remote file:
- 4.22 kB
- SHA256:
- f2d1fbec37dd0b1d1a496a88f421fac29130616771090e49c420bf9ab569d7fc
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