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:
- 1c264cf4cc2933a6067c405b6ff80c07e1e9ff6fa82a6703da36ddf96dba5f53
- Size of remote file:
- 320 kB
- SHA256:
- 4f26417ea51f169113b8babadc9ab415c5a5ef33724666a39549b6551029d858
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