Automatic Speech Recognition
Transformers
Safetensors
VibeVoice
ASR
Transcriptoin
Diarization
Speech-to-Text
Instructions to use microsoft/VibeVoice-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/VibeVoice-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="microsoft/VibeVoice-ASR")# Load model directly from transformers import VibeVoiceForASRTraining model = VibeVoiceForASRTraining.from_pretrained("microsoft/VibeVoice-ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e88c25583a76ae9709706f28f2bf90477d254da757f92ef554d21c4ec059d98b
- Size of remote file:
- 2.39 GB
- SHA256:
- 163023c61a3fb047745cbaf53ed41c1e27e515e9786a376e122bfac2ea6e687e
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