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:
- 31b5fca92bf5c55b61c30e9b4db56f6803a96e80043a5c60096a6ad683d455d9
- Size of remote file:
- 3.52 kB
- SHA256:
- 41ef887a3191c9b7f8f6278791ae92223347df6d9682c52be032f8152975c0ba
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