Automatic Speech Recognition
Transformers
Safetensors
VibeVoice
ASR
Transcription
Speech-to-Text
Streaming
Instructions to use Jinstudio/VibeVoice-ASR-Streaming-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jinstudio/VibeVoice-ASR-Streaming-1.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jinstudio/VibeVoice-ASR-Streaming-1.5B")# Load model directly from transformers import AutoProcessor, VibeVoiceForASRStreamingTraining processor = AutoProcessor.from_pretrained("Jinstudio/VibeVoice-ASR-Streaming-1.5B") model = VibeVoiceForASRStreamingTraining.from_pretrained("Jinstudio/VibeVoice-ASR-Streaming-1.5B", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- dc2edd31efb8caf48035ae6da109880a639217f3fbb6fa792ac08a71559ba730
- Size of remote file:
- 192 kB
- SHA256:
- 2b38df286fe4d133d3ccbaf97e3195be349aca09dad011ff463b8d3b656c678f
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