Automatic Speech Recognition
Transformers
Safetensors
Japanese
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use kotoba-tech/kotoba-whisper-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kotoba-tech/kotoba-whisper-v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kotoba-tech/kotoba-whisper-v1.0")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kotoba-tech/kotoba-whisper-v1.0") model = AutoModelForSpeechSeq2Seq.from_pretrained("kotoba-tech/kotoba-whisper-v1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Regarding the Large Subset of ReazonSpeech
#2 opened about 2 years ago
by
sejimak