facebook/mms-300m

AI model by facebook

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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…

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Model overview

facebook/mms-300m is a task-unspecified model repository published by facebook on Hugging Face. The source reports the transformers library.

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Model facts

Task: Not reported
Library: transformers
Recent downloads (30 days): 22,172
Cumulative likes: 568
Hugging Face trending score: 65
Reported safetensors parameters: Not reported
Architecture: Wav2Vec2ForPreTraining
License: cc-by-nc-4.0
Access: Not gated by Hugging Face
Created: 2023-05-22T19:38:01.000Z
Last modified: 2023-06-05T10:23:32.000Z

Compatibility and lineage

Reported languages: ab, af, ak, am, ar, as, av, ay, az, ba, bm, be, bn, bi, bo, sh, br, bg, ca, cs, ce, cv, ku, cy, da, de, dv, dz, el, en, eo, et, eu, ee, fo, fa, fj, fi, fr, fy

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-20T06:35:51.306Z. Daily imports are snapshots, not real-time monitoring.

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