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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
fcfa0af | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1b7842bc1c3f79fb3bf043a0a3590961d625a49ef3ccbdceb00e738c5dd8b015
size 1533763076
|