Instructions to use leo271828/whisper-medium-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leo271828/whisper-medium-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="leo271828/whisper-medium-zh")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("leo271828/whisper-medium-zh") model = AutoModelForSpeechSeq2Seq.from_pretrained("leo271828/whisper-medium-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d67da1038d209f593328c01c0a66e4dba1fea51a97f7a85f7f594262c4fbeca9
- Size of remote file:
- 967 MB
- SHA256:
- c78b38f9b2a13bd4850653aa9a603e739cd6b9ffecc1cdf4d09a04df9ba7c444
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