Automatic Speech Recognition
Transformers
Safetensors
Russian
whisper
asr
Pytorch
pruned
finetune
audio
Eval Results (legacy)
Instructions to use waveletdeboshir/whisper-small-ru-pruned-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waveletdeboshir/whisper-small-ru-pruned-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="waveletdeboshir/whisper-small-ru-pruned-ft")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("waveletdeboshir/whisper-small-ru-pruned-ft") model = AutoModelForSpeechSeq2Seq.from_pretrained("waveletdeboshir/whisper-small-ru-pruned-ft") - Notebooks
- Google Colab
- Kaggle
Ctrl+K