Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Japanese
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use zubokol/whisper-tiny-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zubokol/whisper-tiny-ja with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zubokol/whisper-tiny-ja")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zubokol/whisper-tiny-ja") model = AutoModelForSpeechSeq2Seq.from_pretrained("zubokol/whisper-tiny-ja") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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