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:
- 02ffa1dd4412b3f2ebf4fa979cbc4e78579979e6ad22d9cea7d7d6809fb10679
- Size of remote file:
- 1.46 GB
- SHA256:
- a2ba6960d994dc7598efc6796f85ab097da7708f4dd56095f7fccf4df8dc00e5
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