facebook / seamless-streaming

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Model's Last Updated: January 04 2024
text-to-speech

Introduction of seamless-streaming

Model Details of seamless-streaming

SeamlessStreaming

SeamlessStreaming is a multilingual streaming translation model. It supports:

  • Streaming Automatic Speech Recognition on 96 languages.
  • Simultaneous translation on 101 source languages for speech input.
  • Simultaneous translation on 96 target languages for text output.
  • Simultaneous translation on 36 target languages for speech output.

SeamlessStreaming architecture

SeamlessStreaming models
Model Name #params checkpoint metrics
SeamlessStreaming 2.5B 🤗 Model card - monotonic decoder checkpoint - streaming UnitY2 checkpoint metrics

The evaluation data ids for FLEURS, CoVoST2 and CVSS-C can be found here

Evaluating SeamlessStreaming models

To reproduce our results, or to evaluate using the same metrics over your own test sets, please check out the Evaluation README here . Streaming evaluation depends on the SimulEval library.

Seamless Streaming demo
Running on HF spaces

You can simply duplicate the space to run it. 🤗 HF Space

Running locally
Install backend seamless_server dependencies

Please note: we do not recommend running the model on CPU. CPU inference will be slow and introduce noticable delays in the simultaneous translation.

The example below is for PyTorch stable (2.1.1) and variant cu118. Check here to find the torch/torchaudio command for your variant. Check here to find the fairseq2 command for your variant.

If running for the first time, create conda environment and install the desired torch version. Then install the rest of the requirements:

cd seamless_server
conda create --yes --name smlss_server python=3.8 libsndfile==1.0.31
conda activate smlss_server
conda install --yes pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
pip install fairseq2 --pre --extra-index-url https://fair.pkg.atmeta.com/fairseq2/whl/nightly/pt2.1.1/cu118
pip install -r requirements.txt
Install frontend streaming-react-app dependencies
conda install -c conda-forge nodejs
cd streaming-react-app
npm install --global yarn
yarn
yarn build  # this will create the dist/ folder
Running the server

The server can be run locally with uvicorn below. Run the server in dev mode:

cd seamless_server
uvicorn app_pubsub:app --reload --host localhost

Run the server in prod mode:

cd seamless_server
uvicorn app_pubsub:app --host 0.0.0.0

To enable additional logging from uvicorn pass --log-level debug or --log-level trace .

Debuging

If you enable "Server Debug Flag" when starting streaming from the client, this enables extensive debug logging and it saves audio files in /debug folder.

Citation

For EMMA, please cite :

@article{ma_efficient_2023,
  author={Ma, Xutai and Sun, Anna and Ouyang, Siqi and Inaguma, Hirofumi and Tomasello, Paden},
  title={Efficient Monotonic Multihead Attention},
  year={2023},
  url={https://ai.meta.com/research/publications/efficient-monotonic-multihead-attention/},
}

For SeamlessStreaming, please cite :

@inproceedings{seamless2023,
   title="Seamless: Multilingual Expressive and Streaming Speech Translation",
   author="{Seamless Communication}, Lo{\"i}c Barrault, Yu-An Chung, Mariano Coria Meglioli, David Dale, Ning Dong, Mark Duppenthaler, Paul-Ambroise Duquenne, Brian Ellis, Hady Elsahar, Justin Haaheim, John Hoffman, Min-Jae Hwang, Hirofumi Inaguma, Christopher Klaiber, Ilia Kulikov, Pengwei Li, Daniel Licht, Jean Maillard, Ruslan Mavlyutov, Alice Rakotoarison, Kaushik Ram Sadagopan, Abinesh Ramakrishnan, Tuan Tran, Guillaume Wenzek, Yilin Yang, Ethan Ye, Ivan Evtimov, Pierre Fernandez, Cynthia Gao, Prangthip Hansanti, Elahe Kalbassi, Amanda Kallet, Artyom Kozhevnikov, Gabriel Mejia, Robin San Roman, Christophe Touret, Corinne Wong, Carleigh Wood, Bokai Yu, Pierre Andrews, Can Balioglu, Peng-Jen Chen, Marta R. Costa-juss{\`a}, Maha Elbayad, Hongyu Gong, Francisco Guzm{\'a}n, Kevin Heffernan, Somya Jain, Justine Kao, Ann Lee, Xutai Ma, Alex Mourachko, Benjamin Peloquin, Juan Pino, Sravya Popuri, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Anna Sun, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang, Mary Williamson",
  journal={ArXiv},
  year={2023}
}

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More Information About seamless-streaming huggingface.co Model

More seamless-streaming license Visit here:

https://choosealicense.com/licenses/cc-by-nc-4.0

seamless-streaming huggingface.co

seamless-streaming huggingface.co is an AI model on huggingface.co that provides seamless-streaming's model effect (), which can be used instantly with this facebook seamless-streaming model. huggingface.co supports a free trial of the seamless-streaming model, and also provides paid use of the seamless-streaming. Support call seamless-streaming model through api, including Node.js, Python, http.

seamless-streaming huggingface.co Url

https://huggingface.co/facebook/seamless-streaming

facebook seamless-streaming online free

seamless-streaming huggingface.co is an online trial and call api platform, which integrates seamless-streaming's modeling effects, including api services, and provides a free online trial of seamless-streaming, you can try seamless-streaming online for free by clicking the link below.

facebook seamless-streaming online free url in huggingface.co:

https://huggingface.co/facebook/seamless-streaming

seamless-streaming install

seamless-streaming is an open source model from GitHub that offers a free installation service, and any user can find seamless-streaming on GitHub to install. At the same time, huggingface.co provides the effect of seamless-streaming install, users can directly use seamless-streaming installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

seamless-streaming install url in huggingface.co:

https://huggingface.co/facebook/seamless-streaming

Url of seamless-streaming

seamless-streaming huggingface.co Url

Provider of seamless-streaming huggingface.co

facebook
ORGANIZATIONS

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