Audio-Text-to-Text
Transformers
Safetensors
vibevoice_asr
automatic-speech-recognition
ASR
Diarization
Speech-to-Text
Transcription
Eval Results
Instructions to use microsoft/VibeVoice-ASR-HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/VibeVoice-ASR-HF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("microsoft/VibeVoice-ASR-HF") model = AutoModelForMultimodalLM.from_pretrained("microsoft/VibeVoice-ASR-HF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00001-of-00008.safetensors from microsoft/VibeVoice-ASR-HF: direct link, hf CLI and curl.
- Browser
- Download file 2.49 GB
-
https://huggingface.co/microsoft/VibeVoice-ASR-HF/resolve/main/model-00001-of-00008.safetensors
- Command line
-
hf download hf://microsoft/VibeVoice-ASR-HF/model-00001-of-00008.safetensors
-
curl -L -o model-00001-of-00008.safetensors https://huggingface.co/microsoft/VibeVoice-ASR-HF/resolve/main/model-00001-of-00008.safetensors
2.49 GB
- Xet hash:
- 71e8a95114bc7e413e2b0978591048e397d5922a49d946ae12cff5dfd63b8a00
- Size of remote file:
- 2.49 GB
- SHA256:
- 580189757a1c737ecc6fad16e633b922bc73220268356e31362c24365f081095
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