Automatic Speech Recognition
Transformers
Safetensors
VibeVoice
ASR
Transcription
Speech-to-Text
Streaming
Instructions to use microsoft/VibeVoice-ASR-Streaming-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/VibeVoice-ASR-Streaming-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="microsoft/VibeVoice-ASR-Streaming-7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, VibeVoiceForASRStreamingTraining processor = AutoProcessor.from_pretrained("microsoft/VibeVoice-ASR-Streaming-7B") model = VibeVoiceForASRStreamingTraining.from_pretrained("microsoft/VibeVoice-ASR-Streaming-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from microsoft/VibeVoice-ASR-Streaming-7B: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/microsoft/VibeVoice-ASR-Streaming-7B/resolve/main/tokenizer.json
- Command line
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hf download hf://microsoft/VibeVoice-ASR-Streaming-7B/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/microsoft/VibeVoice-ASR-Streaming-7B/resolve/main/tokenizer.json
7.03 MB
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