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:
- 5fad9e67cc00a6885f45e0d945bf60cfdc2641006dc8bfb11862d5281a05c226
- Size of remote file:
- 4.22 kB
- SHA256:
- 85d7665583bcc08e613af6229d88e2e88eda1919277bb1f87781bc105e2f26e5
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