Instructions to use teahoo/whisper-tiny-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teahoo/whisper-tiny-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="teahoo/whisper-tiny-ko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("teahoo/whisper-tiny-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("teahoo/whisper-tiny-ko") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:324456c28373adcd415f5ea1b9b48206c05f3d6c06a1f2b1a9a9e165597edd46
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size 151061672
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