Instructions to use forkjoin-ai/vibevoice-realtime-0.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use forkjoin-ai/vibevoice-realtime-0.5b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="forkjoin-ai/vibevoice-realtime-0.5b")# Load model directly from transformers import VibeVoiceStreamingForConditionalGenerationInference model = VibeVoiceStreamingForConditionalGenerationInference.from_pretrained("forkjoin-ai/vibevoice-realtime-0.5b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Vibevoice Realtime 0.5B (SafeTensors)
SafeTensors mirror of VibeVoice/VibeVoice-Realtime-0.5B for distributed edge inference — powered by the Aether runtime on Edgework.ai.
Model Details
| Property | Value |
|---|---|
| Base model | VibeVoice/VibeVoice-Realtime-0.5B |
| Format | SafeTensors |
| Weight files | 1 shard(s) *.safetensors |
| License | apache-2.0 |
Usage
These are SafeTensors weights — load them with the model's native framework (e.g. transformers / diffusers), not llama.cpp.
huggingface-cli download forkjoin-ai/vibevoice-realtime-0.5b --local-dir ./vibevoice-realtime-0.5b
About
Published by AFFECTIVELY · Managed by @buley. Mirrored for distributed edge inference via the Aether runtime.
- Downloads last month
- 36