Audio-Text-to-Text
Transformers
Safetensors
vibevoice_asr
automatic-speech-recognition
ASR
Diarization
Speech-to-Text
Transcription
Eval Results
Instructions to use microsoft/VibeVoice-ASR-HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/VibeVoice-ASR-HF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("microsoft/VibeVoice-ASR-HF") model = AutoModelForMultimodalLM.from_pretrained("microsoft/VibeVoice-ASR-HF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from microsoft/VibeVoice-ASR-HF: direct link, hf CLI and curl.
- Browser
- Download file 281 Bytes
-
https://huggingface.co/microsoft/VibeVoice-ASR-HF/resolve/refs%2Fpr%2F7/generation_config.json
- Command line
-
hf download hf://microsoft/VibeVoice-ASR-HF@refs/pr/7/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/microsoft/VibeVoice-ASR-HF/resolve/refs%2Fpr%2F7/generation_config.json
281 Bytes
| { | |
| "_from_model_config": true, | |
| "do_sample": false, | |
| "eos_token_id": 151643, | |
| "max_length": 32768, | |
| "max_new_tokens": 32768, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 151655, | |
| "transformers_version": "5.3.0.dev0", | |
| "use_cache": true | |
| } | |