Instructions to use antony66/whisper-large-v3-russian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antony66/whisper-large-v3-russian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="antony66/whisper-large-v3-russian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("antony66/whisper-large-v3-russian") model = AutoModelForSpeechSeq2Seq.from_pretrained("antony66/whisper-large-v3-russian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
There is a 30-40% time spent difference while inference on the same russian audio with -l ru and auto language detection(no -l )
#11 opened 11 months ago
by
Limtech
Hello Antony!
1
#10 opened 12 months ago
by
arkanoah
Interest in Your Whisper Fine-Tuning Project
#9 opened over 1 year ago
by
ahmadtarek
finetuning flow
#8 opened over 1 year ago
by
Apel-sin
Использование модели
1
#5 opened over 1 year ago
by
Incrediblecat
Do you make version with whisper-large-v3-turbo ?
1
#3 opened almost 2 years ago
by
neowisard
Improve suggestion
3
#2 opened about 2 years ago
by
LukeJacob2023
CT2 format?
6
#1 opened about 2 years ago
by
saintman