Instructions to use KBLab/kb-whisper-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/kb-whisper-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KBLab/kb-whisper-large")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("KBLab/kb-whisper-large") model = AutoModelForSpeechSeq2Seq.from_pretrained("KBLab/kb-whisper-large") - Notebooks
- Google Colab
- Kaggle
Tubro?
👍 1
1
#17 opened 3 months ago
by
Bidutree
swhisper pipeline combines kb-whisper-large with diarization
🔥 1
#16 opened 7 months ago
by
tophee
ggml format for Strict version
2
#9 opened about 1 year ago
by
jayant-yadav
Hyperparameter?
4
#5 opened about 1 year ago
by
seastar105
flax weights
1
#4 opened about 1 year ago
by
wuwen89