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:
- 7cb736a9c2a45af98629cc2d1fff2f724bd35785e261639da13d13af52ed2efb
- Size of remote file:
- 967 MB
- SHA256:
- dcc16208b8f8177a5c8476983477e66ecbb98173edefc988043c46ff9db4496b
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