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 pytorch_model.bin from teahoo/whisper-tiny-ko: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/teahoo/whisper-tiny-ko/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://teahoo/whisper-tiny-ko/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/teahoo/whisper-tiny-ko/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 5b07fca89cc269c7012b5c39165daa5b0f9e2f8ed255d04d2cc1ef8122121c5c
- Size of remote file:
- 151 MB
- SHA256:
- 68e5767b2e72fbd4c611b0bfbf8bdc0447d10f927b3a7c436da120b8af1782f3
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