Automatic Speech Recognition
Transformers
Safetensors
VibeVoice
ASR
Transcription
Speech-to-Text
Streaming
Instructions to use microsoft/VibeVoice-ASR-Streaming-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/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="microsoft/VibeVoice-ASR-Streaming-1.5B")# Load model directly from transformers import AutoProcessor, VibeVoiceForASRStreamingTraining processor = AutoProcessor.from_pretrained("microsoft/VibeVoice-ASR-Streaming-1.5B") model = VibeVoiceForASRStreamingTraining.from_pretrained("microsoft/VibeVoice-ASR-Streaming-1.5B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 191 Bytes
94efa5c | 1 2 3 4 5 6 7 8 | {
"speech_tok_compress_ratio": 3200,
"target_sample_rate": 24000,
"normalize_audio": false,
"chunk_frames": 22,
"lookahead_frames": 4,
"processor_class": "VibeVoiceASRProcessor"
} |