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, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simonl0909/whisper-large-v2-cantonese") model = AutoModelForSpeechSeq2Seq.from_pretrained("simonl0909/whisper-large-v2-cantonese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
How to convert the file pytorch_model.bin for Whisper use?
4
#4 opened almost 3 years ago
by
sdugoten