Instructions to use CWKSC/whisper-tiny-common_voice_13_0-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CWKSC/whisper-tiny-common_voice_13_0-ja with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CWKSC/whisper-tiny-common_voice_13_0-ja")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CWKSC/whisper-tiny-common_voice_13_0-ja") model = AutoModelForSpeechSeq2Seq.from_pretrained("CWKSC/whisper-tiny-common_voice_13_0-ja") - Notebooks
- Google Colab
- Kaggle