Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Korean
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Roooy/whisper-tiny-ko-common with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roooy/whisper-tiny-ko-common with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Roooy/whisper-tiny-ko-common")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Roooy/whisper-tiny-ko-common") model = AutoModelForSpeechSeq2Seq.from_pretrained("Roooy/whisper-tiny-ko-common") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8d5dcb7cece698c714286d36af63cb9b46b2564b2c902b1e3b7de8f07fe1b9e
- Size of remote file:
- 151 MB
- SHA256:
- d22991ee62c4ae410c8be088ba0d15c1ef02bd4f601962ee2030e9bf2d1d2ef5
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