Automatic Speech Recognition
Transformers
Safetensors
VibeVoice
ASR
Transcriptoin
Diarization
Speech-to-Text
3-bit
Instructions to use beaupi/VibeVoice-ASR-oQ3.5-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beaupi/VibeVoice-ASR-oQ3.5-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="beaupi/VibeVoice-ASR-oQ3.5-fp16")# Load model directly from transformers import VibeVoiceForASRTraining model = VibeVoiceForASRTraining.from_pretrained("beaupi/VibeVoice-ASR-oQ3.5-fp16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b1cea6c94c89868e82c15011c96a284ec8714b8793486998d48ff036f5e61b9
- Size of remote file:
- 4.34 GB
- SHA256:
- 2a9aee305c7685742d900881fc4d85bf1c03aa33742cc48f7d2c9b9ca4217d8c
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