Instructions to use AkitoP/whisper-large-v3-japense-phone_accent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AkitoP/whisper-large-v3-japense-phone_accent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AkitoP/whisper-large-v3-japense-phone_accent")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("AkitoP/whisper-large-v3-japense-phone_accent") model = AutoModelForMultimodalLM.from_pretrained("AkitoP/whisper-large-v3-japense-phone_accent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b127db0cb601f393564a496e91f2e876f3a22fe40f5c5826391108d277adb2c0
- Size of remote file:
- 3.24 GB
- SHA256:
- 8eb87573d436b5dcf84be2cf6da8b4dcf4ac5f0fcffef5ac63d925723a9e1b5c
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