Instructions to use Soupis/Cohisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soupis/Cohisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Soupis/Cohisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/Cohisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/Cohisper") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20926400bf034d1ca03bce2e3dbb71674625c143ae66d2c1252365a4fab8549b
- Size of remote file:
- 5.3 kB
- SHA256:
- 7d4608ee98893b3104f31f584cfceb486a6f0adeedd1f2055e1b5fc287a1e62b
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