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
File size: 201 Bytes
2844127 | 1 2 3 4 5 6 7 8 | {
"epoch": 16.04,
"eval_loss": 0.30600619316101074,
"eval_runtime": 935.8023,
"eval_samples_per_second": 10.291,
"eval_steps_per_second": 0.643,
"eval_wer": 12.237466436164343
} |