Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Japanese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use vumichien/whisper-large-v2-jp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vumichien/whisper-large-v2-jp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vumichien/whisper-large-v2-jp")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("vumichien/whisper-large-v2-jp") model = AutoModelForMultimodalLM.from_pretrained("vumichien/whisper-large-v2-jp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f6a6b93c4ff990605489f90ddcdaa468965fbbd35bab4987cad29615e817624
- Size of remote file:
- 6.17 GB
- SHA256:
- 293b474c31accc30702d506458c1d0391647e0b03baba78c5b8a7d7a4ddf3fa1
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