Instructions to use mizoru/whisper-tiny-ka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mizoru/whisper-tiny-ka with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mizoru/whisper-tiny-ka")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mizoru/whisper-tiny-ka") model = AutoModelForSpeechSeq2Seq.from_pretrained("mizoru/whisper-tiny-ka", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mizoru/whisper-tiny-ka: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/mizoru/whisper-tiny-ka/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mizoru/whisper-tiny-ka/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mizoru/whisper-tiny-ka/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 3286b9882d6342bac86f49e5d7f9ce1cd0154ba11494503dc9ef3698cb06af41
- Size of remote file:
- 151 MB
- SHA256:
- e6e47af6d63fd84e753ccc8136e230748cff2fe449e8af755373be9d2231e8bc
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