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:
- acb21113a2b7f6847dd55fd9ab9db9454793e0f801de22bb34ffc0ca57c8b9cd
- Size of remote file:
- 3.58 kB
- SHA256:
- 4395bfeff00bc5cfec859070a7fd2d06e47f946d427001b49a9c37640cfa8825
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