Automatic Speech Recognition
Transformers
Safetensors
Yue Chinese
whisper
cantonese
romanization
jyutping
asr
liujgoj
Instructions to use Yvthyvq/Liujgoj-Cantonese-whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yvthyvq/Liujgoj-Cantonese-whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Yvthyvq/Liujgoj-Cantonese-whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Yvthyvq/Liujgoj-Cantonese-whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("Yvthyvq/Liujgoj-Cantonese-whisper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e809269142f7de8520169afff34a8e74f0bf0514e3400ee95e9c6f4f38ae834d
- Size of remote file:
- 290 MB
- SHA256:
- 89afca71c3537a71ea59336e5e4bc2cb9eb8ab950a2f227c51ba83a693c3ad5a
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