Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Chinese
Yue Chinese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use alvanlii/whisper-small-cantonese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvanlii/whisper-small-cantonese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="alvanlii/whisper-small-cantonese")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("alvanlii/whisper-small-cantonese") model = AutoModelForSpeechSeq2Seq.from_pretrained("alvanlii/whisper-small-cantonese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11b8cbcd4d35be1c2c4ab5a8f61bc96ab8a7c38f27f3fa073784218193e8627e
- Size of remote file:
- 1.93 GB
- SHA256:
- 52d3d75f188b0e83816ddfe2c081aa5811fef9f12f90bcf95efbb6f22d4cb03a
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