Instructions to use SageLiao/whisper-small-zh-TW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SageLiao/whisper-small-zh-TW with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SageLiao/whisper-small-zh-TW")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("SageLiao/whisper-small-zh-TW") model = AutoModelForMultimodalLM.from_pretrained("SageLiao/whisper-small-zh-TW") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ee33ca9c8b0818e1043996fe1ae8bba3277c2eaedca90b45c35968302f0c970
- Size of remote file:
- 5.24 kB
- SHA256:
- d00081ee3d67d23e81a713d2fdc17102bf1729dcc6d1888a1728df0db8311dc8
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