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")# 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
- Xet hash:
- 83c51b566e451c05a1b45860b588415db561b8651deb7271fcc647862b60d21a
- Size of remote file:
- 151 MB
- SHA256:
- 06db7b9073149ed039f1f4bcf94e18ae35565486a78005392fd33876663bcbbb
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