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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e23abc4064f8d890ef3cb126af506b53a40bb5d99d89a3251f3b301ab64a4cb7
- Size of remote file:
- 967 MB
- SHA256:
- c6b7ebf1318c55caf5644e23ca76507f6f42a65054cdb74e0a5fcd6ebb77ad8e
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