Instructions to use microsoft/VibeVoice-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/VibeVoice-1.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="microsoft/VibeVoice-1.5B")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/VibeVoice-1.5B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
vibe
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by Svenson1974 - opened
README.md
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## Models
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| Model | Context Length | Generation Length | Weight |
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| VibeVoice-0.5B-Streaming | - | - |
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| VibeVoice-1.5B | 64K | ~90 min | You are here. |
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| VibeVoice-Large| 32K | ~45 min |
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## Installation and Usage
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## Models
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| Model | Context Length | Generation Length | Weight |
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| VibeVoice-0.5B-Streaming | - | - | On the way |
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| VibeVoice-1.5B | 64K | ~90 min | You are here. |
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| VibeVoice-Large| 32K | ~45 min | [HF link](https://huggingface.co/microsoft/VibeVoice-Large) |
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## Installation and Usage
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