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spiritlm

Inference code for the paper "Spirit-LM Interleaved Spoken and Written Language Model".

ModelsFoundation modelsAudio/Speech modelsPython
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创建于 2024-09-06 · 更新于 2026-10-07 · 今日第 12587 名
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facebookresearch/spiritlm 排名第 12,587,有 928 个星标。

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facebookresearch/spiritlm 排名第 12,587,此处有 8 个同类条目;nathanrs/tiny-diffusion 排名第 12,582。

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关键参数与规格
关键参数与规格
参数值
语言Python
类别Models
子类别Foundation models,Audio/Speech models
关键词Speech-to-text, Text-to-speech
星标数928
分叉数63
贡献者4
创建日期2024-09-06
更新日期2026-10-07
1 天星标数0
7 天星标数0
排名12,587
上次排名12,504
排名变化-83
7 天星标排名13,495
上次 7 天星标排名13,505
7 天星标排名变化10
总星标排名11,795
上次总星标排名11,779
总星标排名变化-16
国家USA
README 摘录

Meta Spirit LM: Interleaved Spoken and Written Language Model This repository contains the model weights, inference code and evaluation scripts for the Spirit LM paper. You can find more generation samples on our demo page. Spirit LM Model Overview Installation Setup Conda Pip Dev (Optionally, use only if you want to run the tests. ) Checkpoints Setup See checkpoints/README. md Quick Start Speech Tokenization See spiritlm/speech_tokenizer/README. md Spirit LM Generation See spiritlm/model/README. md Speech-Text

Sentiment Preservation benchmark (STSP) See spiritlm/eval/README. md Model Card More details of the model can be found in MODEL_CARD. License The present code is provided under the **FAIR Noncommercial Research License** found in LICENSE.

常见问题

记录了多少星标和分叉?

facebookresearch/spiritlm 有 928 个星标和 63 个分叉。

仓库排名是多少?

facebookresearch/spiritlm 排名第 12,587。

记录的语言和类别是什么?

facebookresearch/spiritlm 有 928 个星标,语言为 Python,类别为 Models。

哪个仓库排名最接近?

facebookresearch/spiritlm 与 nathanrs/tiny-diffusion 比较,后者排名第 12,582,有 929 个星标。

README

Meta Spirit LM: Interleaved Spoken and Written Language Model

This repository contains the model weights, inference code and evaluation scripts for the Spirit LM paper. You can find more generation samples on our demo page.

Spirit LM Model Overview

Installation Setup

Conda

conda env create -f env.yml
pip install -e '.[eval]'

Pip

pip install -e '.[eval]'

Dev

(Optionally, use only if you want to run the tests.)

pip install -e '.[dev]'

Checkpoints Setup

See checkpoints/README.md

Quick Start

Speech Tokenization

See spiritlm/speech_tokenizer/README.md

Spirit LM Generation

See spiritlm/model/README.md

Speech-Text Sentiment Preservation benchmark (STSP)

See spiritlm/eval/README.md

Model Card

More details of the model can be found in MODEL_CARD.md.

License

The present code is provided under the FAIR Noncommercial Research License found in LICENSE.

Citation

@misc{nguyen2024spiritlminterleavedspokenwritten,
      title={SpiRit-LM: Interleaved Spoken and Written Language Model},
      author={Tu Anh Nguyen and Benjamin Muller and Bokai Yu and Marta R. Costa-jussa and Maha Elbayad and Sravya Popuri and Paul-Ambroise Duquenne and Robin Algayres and Ruslan Mavlyutov and Itai Gat and Gabriel Synnaeve and Juan Pino and Benoit Sagot and Emmanuel Dupoux},
      year={2024},
      eprint={2402.05755},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2402.05755},
}
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