Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Russian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use MachineTrofimov/whisper-tiny-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MachineTrofimov/whisper-tiny-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MachineTrofimov/whisper-tiny-ru")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MachineTrofimov/whisper-tiny-ru") model = AutoModelForSpeechSeq2Seq.from_pretrained("MachineTrofimov/whisper-tiny-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48b28eb74a8f25b43d08541ac3565184d41d723314d0b0c032bfa23caad6430f
- Size of remote file:
- 5.11 kB
- SHA256:
- dfd7fd0defc3a6913b332812e74f2014ef87082b902103b664c70f98a388d203
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