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:
- 3546699a50180021d983876ef599965e9b7c811f95413513c4e36b04d4c6c69d
- Size of remote file:
- 4.09 kB
- SHA256:
- 06eeca48b7dd0c2039d796b3adae52a7a66c5c17288eb0f54c27038735c65d10
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