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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("teahoo/whisper-tiny-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("teahoo/whisper-tiny-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from teahoo/whisper-tiny-ko: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/teahoo/whisper-tiny-ko/resolve/main/training_args.bin
- Command line
-
hf download hf://teahoo/whisper-tiny-ko/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/teahoo/whisper-tiny-ko/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- beed351c0b1db2fbffc88945f4e4b05c4ef4585351327af42b7e3ac4ca46186b
- Size of remote file:
- 3.71 kB
- SHA256:
- a8564db2471f723b5a4de46af7d8bb63dea4d1112caf031c340ca559fdc0e1ec
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