Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Polish
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use 2rj0/whisper-small-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2rj0/whisper-small-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="2rj0/whisper-small-pl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("2rj0/whisper-small-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("2rj0/whisper-small-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21f68322d9079a0114a03eeafbfc00787983e5482f075c06ca81740ade1e598a
- Size of remote file:
- 5.33 kB
- SHA256:
- d730b77bf628f79ea9dd85d4c826de300350d0b62790146c19a4cfa320c541e2
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