Instructions to use hyperion-shuo/whisper-small-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyperion-shuo/whisper-small-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hyperion-shuo/whisper-small-zh")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hyperion-shuo/whisper-small-zh") model = AutoModelForSpeechSeq2Seq.from_pretrained("hyperion-shuo/whisper-small-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03f257ebceaa60f373dc95b0abd2c43b295d998a71ecec0a952d702cb558b796
- Size of remote file:
- 967 MB
- SHA256:
- d9133efc66251594a49b904b7f4fa342fd9c971482310ffe6495fd5e2d3b4252
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