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
File size: 129 Bytes
23359c2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3de75d721fd566b544321512fb5e414bdd909d2a0252612cc313a7619a93a634
size 3579
|