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onnx-community/mms-300m-ONNX

sourceHugging Facecc-by-nc-4.0updated 5mo agoView on Hugging Face
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mms-300m (ONNX)

This is an ONNX version of facebook/mms-300m. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipelines documentation: https://huggingface.co/docs/transformers.js/api/pipelines

Massively Multilingual Speech (MMS) - 300m

Facebook's MMS counting 300m 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.

Table Of Content

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: 300 million
  • —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} }

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