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--- |
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tags: |
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- mms |
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language: |
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- ab |
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- af |
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- ak |
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- am |
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- ar |
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- as |
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- av |
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- ay |
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- az |
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- ba |
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- bm |
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- be |
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- bn |
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- bi |
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- bo |
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- sh |
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- br |
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- bg |
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- ca |
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- cs |
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- ce |
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- cv |
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- ku |
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- cy |
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- da |
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- de |
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- dv |
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- dz |
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- el |
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- en |
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- eo |
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- et |
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- eu |
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- ee |
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- fo |
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- fa |
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- fj |
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- fi |
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- fr |
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- fy |
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- ff |
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- ga |
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- gl |
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- gn |
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- gu |
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- zh |
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- ht |
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- ha |
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- he |
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- hi |
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- sh |
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- hu |
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- hy |
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- ig |
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- ia |
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- ms |
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- is |
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- it |
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- jv |
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- ja |
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- kn |
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- ka |
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- kk |
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- kr |
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- km |
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- ki |
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- rw |
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- ky |
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- ko |
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- kv |
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- lo |
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- la |
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- lv |
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- ln |
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- lt |
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- lb |
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- lg |
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- mh |
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- ml |
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- mr |
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- ms |
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- mk |
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- mg |
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- mt |
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- mn |
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- mi |
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- my |
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- zh |
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- nl |
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- 'no' |
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- 'no' |
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- ne |
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- ny |
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- oc |
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- om |
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- or |
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- os |
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- pa |
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- pl |
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- pt |
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- ms |
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- ps |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- ro |
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- rn |
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- ru |
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- sg |
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- sk |
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- sl |
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- sm |
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- sn |
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- sd |
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- so |
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- es |
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- sq |
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- su |
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- sv |
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- sw |
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- ta |
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- tt |
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- te |
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- tg |
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- tl |
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- th |
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- ti |
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- ts |
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- tr |
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- uk |
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- ms |
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- vi |
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- wo |
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- xh |
|
- ms |
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- yo |
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- ms |
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- zu |
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- za |
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license: cc-by-nc-4.0 |
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datasets: |
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- google/fleurs |
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metrics: |
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- wer |
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--- |
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# Massively Multilingual Speech (MMS) - 300m |
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Facebook's MMS counting *300m* parameters. |
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MMS is Facebook AI's massive multilingual pretrained model for speech ("MMS"). |
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It is pretrained in with [Wav2Vec2's self-supervised training objective](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) on about 500,000 hours of speech data in over 1,400 languages. |
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When using the model make sure that your speech input is sampled at 16kHz. |
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**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](#how-to-finetune) or [**this blog**](https://huggingface.co/blog/fine-tune-xlsr-wav2vec2) for more information about ASR. |
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|
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## Table Of Content |
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|
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- [How to Finetune](#how-to-finetune) |
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- [Model details](#model-details) |
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- [Additional links](#additional-links) |
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## How to finetune |
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Coming soon... |
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|
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## Model details |
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|
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- **Developed by:** Vineel Pratap et al. |
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- **Model type:** Multi-Lingual Automatic Speech Recognition model |
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- **Language(s):** 1000+ languages |
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- **License:** CC-BY-NC 4.0 license |
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- **Num parameters**: 300 million |
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- **Cite as:** |
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|
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@article{pratap2023mms, |
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title={Scaling Speech Technology to 1,000+ Languages}, |
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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}, |
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journal={arXiv}, |
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year={2023} |
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} |
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|
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## Additional Links |
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|
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- [Blog post]( ) |
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- [Transformers documentation](https://huggingface.co/docs/transformers/main/en/model_doc/mms). |
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- [Paper](https://arxiv.org/abs/2305.13516) |
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- [GitHub Repository](https://github.com/facebookresearch/fairseq/tree/main/examples/mms#asr) |
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- [Other **MMS** checkpoints](https://huggingface.co/models?other=mms) |
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- MMS ASR fine-tuned checkpoints: |
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- [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) |
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- [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) |
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- [facebook/mms-1b-fl102](https://huggingface.co/facebook/mms-1b-fl102) |
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- [Official Space](https://huggingface.co/spaces/facebook/MMS) |
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|
