Audio-Text-to-Text
Transformers
Safetensors
vibevoice_asr
automatic-speech-recognition
ASR
Diarization
Speech-to-Text
Transcription
torchao
Instructions to use Matir/VibeVoice-ASR-HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matir/VibeVoice-ASR-HF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Matir/VibeVoice-ASR-HF") model = AutoModelForMultimodalLM.from_pretrained("Matir/VibeVoice-ASR-HF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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More updates
a4b9400 -
Updates
0872fd5 -
Quantize to FP8
9249355
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Update image
55fc4e0
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Maybe working container
David Tomaschik1ac3a4d
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Update main.py
David Tomaschik0f215e7 -
Fix requiirements
David Tomaschikbe9ed52 -
Drop to transformers 5.9.3
David Tomaschikb119334 -
Add dockerignore
David Tomaschikca11363 -
Switch to custom container
David Tomaschik1900ec7 -
Remove torch pins
David Tomaschika7c765b -
requirements cleanup
David Tomaschikf522b12 -
Try again
David Tomaschika1522ea -
Bump requirements in detail
David Tomaschik9c9538c -
Bump sentence-transformers
David Tomaschikc135bb1 -
Update for HF inference endpoints
David Tomaschikf6b0c64 -
Duplicate from microsoft/VibeVoice-ASR-HF
Co-authored-by: Furu Wei <frontierai@users.noreply.huggingface.co>a4b31f2