mms-1b

facebook/mms-1b

mms-1b is a machine learning model from facebook. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.

Facebook's MMS counting 1 billion parameters.

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Hugging Face

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At a glance

Library: transformers
License: cc-by-nc-4.0
Model type: wav2vec2
Access: Public
Created: May 22, 2023
Updated: Jun 5, 2023
SHA: 0d2f7adb

Datasets

google/fleurs

Spaces

Model card

From the Hugging Face model README

Massively Multilingual Speech (MMS) - 1B

Facebook's MMS counting 1 billion parameters.

MMS is Facebook AI's massive multilingual pretrained model for speech ("MMS"). It is pretrained in with Wav2Vec2's self-supervised training objective on about 500,000 hours of speech data in over 1,400 languages.

When using the model make sure that your speech input is sampled at 16kHz.

Note: This model should be fine-tuned on a downstream task, like Automatic Speech Recognition, Translation, or Classification. Check out the **How-to-fine section or this blog for more information about ASR.

How to finetune

Coming soon...

Model details

Developed by: Vineel Pratap et al.
Model type: Multi-Lingual Automatic Speech Recognition model
Language(s): 1000+ languages
License: CC-BY-NC 4.0 license
Num parameters: 1 billion

Cite as:

@article{pratap2023mms,
  title={Scaling Speech Technology to 1,000+ Languages},
  author={Vineel Pratap and Andros Tjandra and Bowen Shi and Paden Tomasello and Arun Babu and Sayani Kundu and Ali Elkahky and Zhaoheng Ni and Apoorv Vyas and Maryam Fazel-Zarandi and Alexei Baevski and Yossi Adi and Xiaohui Zhang and Wei-Ning Hsu and Alexis Conneau and Michael Auli},
journal={arXiv},
year={2023}
}

Additional Links

Library: transformers
Type: wav2vec2
License: cc-by-nc-4.0
Languages: ab, af, ak, am, ar, as
Created: May 22, 2023
Updated: Jun 5, 2023