Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Polish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Aspik101/whisper-tiny-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aspik101/whisper-tiny-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aspik101/whisper-tiny-pl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Aspik101/whisper-tiny-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("Aspik101/whisper-tiny-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files
pytorch_model.bin
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runs/Dec05_21-50-22_193-122-153-139/events.out.tfevents.1670277027.193-122-153-139.609841.0
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