Instructions to use Compumacy/llmvox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Compumacy/llmvox with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Compumacy/llmvox")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Compumacy/llmvox", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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license: cc-by-nc-sa-4.0
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pipeline_tag: text-to-speech
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This repository contains the model as described in [LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM](https://hf.co/papers/2503.04724).
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license: cc-by-nc-sa-4.0
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pipeline_tag: text-to-speech
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library_name: transformers
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tags:
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- tts
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- voice
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- wip
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This repository contains the model as described in [LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM](https://hf.co/papers/2503.04724).
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