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 tokenizer_config.json from microsoft/VibeVoice-ASR-HF: direct link, hf CLI and curl.
- Browser
- Download file 714 Bytes
-
https://huggingface.co/microsoft/VibeVoice-ASR-HF/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://microsoft/VibeVoice-ASR-HF/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/microsoft/VibeVoice-ASR-HF/resolve/main/tokenizer_config.json
714 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<|object_ref_start|>", | |
| "<|object_ref_end|>", | |
| "<|box_start|>", | |
| "<|box_end|>", | |
| "<|quad_start|>", | |
| "<|quad_end|>", | |
| "<|vision_start|>", | |
| "<|vision_end|>", | |
| "<|vision_pad|>", | |
| "<|image_pad|>", | |
| "<|video_pad|>" | |
| ], | |
| "is_local": false, | |
| "model_max_length": 131072, | |
| "pad_token": "<|endoftext|>", | |
| "processor_class": "VibeVoiceAsrProcessor", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |