Automatic Speech Recognition
Transformers
VibeVoice
ASR
Transcriptoin
Diarization
Speech-to-Text
4-bit precision
Instructions to use beaupi/VibeVoice-ASR-oQ4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beaupi/VibeVoice-ASR-oQ4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="beaupi/VibeVoice-ASR-oQ4")# Load model directly from transformers import VibeVoiceForASRTraining model = VibeVoiceForASRTraining.from_pretrained("beaupi/VibeVoice-ASR-oQ4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4bb4e7b242bdbec7964c133c49d73be74f6a01e3b9a564851962346aae5ce13
- Size of remote file:
- 5.1 GB
- SHA256:
- 9946701f28c6befe0836a9004b6c471c2bfd24a2891ea4efe743eb25c5ca2bbf
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