Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Yue Chinese
whisper
whisper-event
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use simonl0909/whisper-large-v2-cantonese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonl0909/whisper-large-v2-cantonese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simonl0909/whisper-large-v2-cantonese")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("simonl0909/whisper-large-v2-cantonese") model = AutoModelForMultimodalLM.from_pretrained("simonl0909/whisper-large-v2-cantonese") - Notebooks
- Google Colab
- Kaggle
呢個模型用嘅數據集係 Common Voice 幾?係 zh_hk 定 yue?
#5
by laubonghaudoi - opened
README 冇講係用咩數據嚟練嘅。
The tags in the model card has the information you need. Please let me know if you have other questions. Cheers!
simonl0909 changed discussion status to closed
因為個model card入面寫嘅信息有矛盾,就係入面話係用 common voice 11.0,跟住又話係yue,但係 common voice 11.0 根本冇 yue?yue 係 15.0先至開始有嘅,所以實際上用嘅係 11.0 嘅 zh-hk?
唔該晒,但係噉樣嘅話,係用咗全部五十幾個鐘嘅數據,定係嗰廿二個鐘嘅已驗證數據?
