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:
- 2a90768e2c2c919b7ee094090d7766bf7f92a4c3aae2151debd61d1390261099
- Size of remote file:
- 4.21 kB
- SHA256:
- 54b688582f59acde43a7249c82214141537819a01e0e55c3583fff00958697ed
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