Instructions to use KBLab/kb-whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/kb-whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KBLab/kb-whisper-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("KBLab/kb-whisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("KBLab/kb-whisper-medium") - Notebooks
- Google Colab
- Kaggle
Fix: upload medium size model instead of small
#2
by Lauler - opened
The small size model was uploaded in the latest commit of this repo (repo is kb-whisper-medium). Uploading the medium size checkpoint again.
Lauler changed pull request status to merged