Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Serbian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use asusevski/whisper-small-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asusevski/whisper-small-sr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="asusevski/whisper-small-sr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("asusevski/whisper-small-sr") model = AutoModelForSpeechSeq2Seq.from_pretrained("asusevski/whisper-small-sr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dce16ba883db9347168ca576bc08e4912cdd0dc07a934d50673672deaa9aace
- Size of remote file:
- 967 MB
- SHA256:
- b36688761e1fdcd62f834334836a0b54ed40c9787887e64ded088da56c7de1ff
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