Audio-Text-to-Text
Transformers
Safetensors
vibevoice_asr
automatic-speech-recognition
ASR
Diarization
Speech-to-Text
Transcription
Instructions to use bezzam/VibeVoice-ASR-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bezzam/VibeVoice-ASR-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("bezzam/VibeVoice-ASR-7B") model = AutoModelForMultimodalLM.from_pretrained("bezzam/VibeVoice-ASR-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 281 Bytes
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"_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
}
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