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:
- 7111c11722f2e06cb0eb8f9b83a17a20e137d45312dddd83f6b6d796b2e6da3e
- Size of remote file:
- 2.47 GB
- SHA256:
- b17657bb151daa117a5a4671374ac1b248acb696691a2a67ac227a1115925e30
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