Instructions to use au2a/whisper-base-zh-20230708 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use au2a/whisper-base-zh-20230708 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="au2a/whisper-base-zh-20230708")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("au2a/whisper-base-zh-20230708") model = AutoModelForSpeechSeq2Seq.from_pretrained("au2a/whisper-base-zh-20230708", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ab27a6cca3371f8b052e2987c9d907f914a996e7b9bebeb0d632c63c6239aec
- Size of remote file:
- 4.08 kB
- SHA256:
- 4a257576e126f9f0b9f6ba1fd775080b53e36e22c7f6fb01342f3827cb62177a
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