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 AutoProcessor, VibeVoiceForASRTraining processor = AutoProcessor.from_pretrained("microsoft/VibeVoice-ASR") model = VibeVoiceForASRTraining.from_pretrained("microsoft/VibeVoice-ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e31d4ea82ba3e72795b6eabfb4e6a2bb0f0a7cb65612dad4b57136f353ea4297
- Size of remote file:
- 149 kB
- SHA256:
- c5973094212c6c5c9c0bba6ee274e396ddbb272d8642f86c0d96c5b9e85dd52b
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