Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Belarusian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ales/whisper-tiny-be-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ales/whisper-tiny-be-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ales/whisper-tiny-be-test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ales/whisper-tiny-be-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("ales/whisper-tiny-be-test") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Dec12_19-06-19_13ea4557542f
- Dec12_19-20-12_13ea4557542f
- Dec12_19-28-45_13ea4557542f
- Dec12_20-18-09_13ea4557542f
- Dec13_11-33-05_d7f040c448a8
- Dec13_12-14-07_d7f040c448a8
- Dec13_12-46-08_d7f040c448a8
- Dec13_13-15-52_d7f040c448a8
- Dec13_14-14-43_d7f040c448a8
- Dec14_10-16-01_129-213-88-66
- Dec14_10-18-27_129-213-88-66