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:
- aeca241200f4b5ef438db6f27313c04198b275debae6f9a8778ad8a3b57d2df7
- Size of remote file:
- 967 MB
- SHA256:
- 7cb75558d18d2e215c4a6c5937f30ada7e8f40b152a69dd0964031ef5ec9badd
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