Instructions to use kdcyberdude/whisper-medium-pa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kdcyberdude/whisper-medium-pa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kdcyberdude/whisper-medium-pa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kdcyberdude/whisper-medium-pa") model = AutoModelForSpeechSeq2Seq.from_pretrained("kdcyberdude/whisper-medium-pa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 199630d3987d0a2ef5400ea625e8a3f2a7b621932139fd900fb754a75727915a
- Size of remote file:
- 5.11 kB
- SHA256:
- 8563bdec0ed63383c07c89f72a561061de9f4be7495996144ef360bee859b4b3
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