Instructions to use marcsixtysix/whisper-tiny-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcsixtysix/whisper-tiny-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marcsixtysix/whisper-tiny-pl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("marcsixtysix/whisper-tiny-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("marcsixtysix/whisper-tiny-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 055fe5e5bb070e94c32b2ba25e305fb4b3e6279ae64c423b27554b70ed202d7a
- Size of remote file:
- 151 MB
- SHA256:
- 592229f7b2bb0903c1b2f7b18625856c88deae070f6313e410d1b68fb561a11e
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