Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Instructions to use artyomboyko/whisper-small-fine_tuned-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artyomboyko/whisper-small-fine_tuned-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="artyomboyko/whisper-small-fine_tuned-ru")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("artyomboyko/whisper-small-fine_tuned-ru") model = AutoModelForSpeechSeq2Seq.from_pretrained("artyomboyko/whisper-small-fine_tuned-ru") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9f47054fe73b7920a477de3ec10faafa5dddd68351b744d823ecb716fa98396
- Size of remote file:
- 967 MB
- SHA256:
- 1efb1aead6c09bc6f6c7fa3a0273827d17f930e8e5368264aaea7fa4eff6784e
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