Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use jed351/whisper_medium_cantonese_cm_voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jed351/whisper_medium_cantonese_cm_voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jed351/whisper_medium_cantonese_cm_voice")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("jed351/whisper_medium_cantonese_cm_voice") model = AutoModelForMultimodalLM.from_pretrained("jed351/whisper_medium_cantonese_cm_voice") - Notebooks
- Google Colab
- Kaggle
Ctrl+K