Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
whisper-event
Eval Results (legacy)
Instructions to use vumichien/whisper-large-v2-mix-jp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vumichien/whisper-large-v2-mix-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-mix-jp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vumichien/whisper-large-v2-mix-jp") model = AutoModelForSpeechSeq2Seq.from_pretrained("vumichien/whisper-large-v2-mix-jp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
How is this in 2026?
#5 opened about 1 month ago
by
whnf
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot