Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Polish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use bardsai/whisper-large-v2-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/whisper-large-v2-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bardsai/whisper-large-v2-pl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bardsai/whisper-large-v2-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("bardsai/whisper-large-v2-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3500
Browse files
pytorch_model.bin
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runs/Dec12_16-58-06_144-24-106-37/events.out.tfevents.1670864299.144-24-106-37.69042.0
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