Automatic Speech Recognition
Transformers
Safetensors
VibeVoice
ASR
Transcription
Speech-to-Text
Streaming
4-bit precision
awq
Instructions to use lemuriandezapada/VibeVoice-ASR-Streaming-AWQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lemuriandezapada/VibeVoice-ASR-Streaming-AWQ-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lemuriandezapada/VibeVoice-ASR-Streaming-AWQ-4bit")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, VibeVoiceForASRStreamingTraining processor = AutoProcessor.from_pretrained("lemuriandezapada/VibeVoice-ASR-Streaming-AWQ-4bit") model = VibeVoiceForASRStreamingTraining.from_pretrained("lemuriandezapada/VibeVoice-ASR-Streaming-AWQ-4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download decoder-awq/generation_config.json from lemuriandezapada/VibeVoice-ASR-Streaming-AWQ-4bit: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/lemuriandezapada/VibeVoice-ASR-Streaming-AWQ-4bit/resolve/main/decoder-awq/generation_config.json
- Command line
-
hf download hf://lemuriandezapada/VibeVoice-ASR-Streaming-AWQ-4bit/decoder-awq/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/lemuriandezapada/VibeVoice-ASR-Streaming-AWQ-4bit/resolve/main/decoder-awq/generation_config.json
112 Bytes
| { | |
| "_from_model_config": true, | |
| "do_sample": true, | |
| "transformers_version": "4.47.1", | |
| "use_cache": false | |
| } | |