Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Russian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use lorenzoncina/whisper-small-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lorenzoncina/whisper-small-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lorenzoncina/whisper-small-ru")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lorenzoncina/whisper-small-ru") model = AutoModelForSpeechSeq2Seq.from_pretrained("lorenzoncina/whisper-small-ru") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac29abc74478103e48b528806260a5aadecacaa875ce71b95330205e490b0e36
- Size of remote file:
- 967 MB
- SHA256:
- 13c7142ecfe67eab78191e701ae833a306c40c947576bc7580b35e2fd74bf17d
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