Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Polish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use bardsai/whisper-medium-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/whisper-medium-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bardsai/whisper-medium-pl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bardsai/whisper-medium-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("bardsai/whisper-medium-pl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8114c309b3137f5c78d94ac6ad345b55e592b7457a26227a454d9daaac88c41c
- Size of remote file:
- 3.06 GB
- SHA256:
- ac5424648c0624f2568e6d95bf3fa2564ed4f5e9c42ab002e7923dcd912eb1e0
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