Instructions to use thisiskeithkwan/whisper-small-cantomed5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thisiskeithkwan/whisper-small-cantomed5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thisiskeithkwan/whisper-small-cantomed5")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thisiskeithkwan/whisper-small-cantomed5") model = AutoModelForSpeechSeq2Seq.from_pretrained("thisiskeithkwan/whisper-small-cantomed5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84253f25ae9185db9e9e5c3ef42b2d94effdccda4501c18660dbec787bf7a1bc
- Size of remote file:
- 4.22 kB
- SHA256:
- 6fcbdb24137a0b2e55580ae9c6dd9b3b7584e1c6faf3b5d8e0786984fd23cec6
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