Instructions to use kotoba-tech/kotoba-whisper-v2.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kotoba-tech/kotoba-whisper-v2.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kotoba-tech/kotoba-whisper-v2.2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kotoba-tech/kotoba-whisper-v2.2") model = AutoModelForSpeechSeq2Seq.from_pretrained("kotoba-tech/kotoba-whisper-v2.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model card instructions no longer working.
#8 opened 6 months ago
by
RimBlock
Update kotoba_whisper.py
#7 opened 7 months ago
by
a112292454
Data structure changes caused by pyannote version update, as well as timestamp recognition issues and fixed
#5 opened 7 months ago
by
a112292454
Subtitle edit
#4 opened 7 months ago
by
techguru1
Persistent ImportError: diarizers due to pyannote.audio version conflict in installation instructions
5
#3 opened about 1 year ago
by
mrchrister
ben
#2 opened over 1 year ago
by
superwahahayue
fix: ffmpeg_microphone_live key error
#1 opened almost 2 years ago
by
daraiii