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:
- 0c773ce0d9518336840987ddb7e4ca3ad0d45b94faa92aef9eb3a9e7163148a7
- Size of remote file:
- 3.71 kB
- SHA256:
- 9c345c07f49d73db1336bc73b69e1d05212d57d7792660087cf44e9cdf6873ed
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