Automatic Speech Recognition
Transformers
Safetensors
Korean
whisper
korean
verbatim
disfluency
distillation
on-device
non-commercial
Instructions to use Sky-Kim/crisper-whisper2-tiny-finetuned-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sky-Kim/crisper-whisper2-tiny-finetuned-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sky-Kim/crisper-whisper2-tiny-finetuned-ko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sky-Kim/crisper-whisper2-tiny-finetuned-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sky-Kim/crisper-whisper2-tiny-finetuned-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c82e3090ed8707315d0825d1e4c8e60eec28f48cf4cbb3ce51f49e49178a0860
- Size of remote file:
- 151 MB
- SHA256:
- 717889070525d7745d49bebd12a2681d72d3ce9561c9765ce81ca0be0dcacbee
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