Instructions to use LeeAeron/VibeVoice-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeeAeron/VibeVoice-1.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="LeeAeron/VibeVoice-1.5B")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("LeeAeron/VibeVoice-1.5B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload preprocessor_config.json
Browse files- preprocessor_config.json +13 -0
preprocessor_config.json
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{
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"processor_class": "VibeVoiceProcessor",
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"speech_tok_compress_ratio": 3200,
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"db_normalize": true,
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"audio_processor": {
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"feature_extractor_type": "VibeVoiceTokenizerProcessor",
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"sampling_rate": 24000,
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"normalize_audio": true,
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"target_dB_FS": -25,
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"eps": 1e-06
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},
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"language_model_pretrained_name": "LeeAeron/Qwen2.5-1.5B"
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}
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