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
| { | |
| "epoch": 16.04, | |
| "train_loss": 0.026919007622404022, | |
| "train_runtime": 42713.0008, | |
| "train_samples_per_second": 7.492, | |
| "train_steps_per_second": 0.234 | |
| } |