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
whisper-large-v2-jp / runs /Dec09_03-00-02_129-146-3-60 /events.out.tfevents.1670554837.129-146-3-60.822209.0
- Xet hash:
- b3ec09bc56eb72814a29738b5176f46fe1c703c1916a4c38cec09628a9ab8cc4
- Size of remote file:
- 23.9 kB
- SHA256:
- 04100fcf49384b22dd9001c3799eb81bdd634faa83cb1a921f790aa525d1ec65
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