data2vec (speech)

Parameters

705.1M

Published

Jan 20, 2022

data2vec (speech) is an AI model developed by Meta AI (United States), first published in January 2022. It works in the speech domain, on tasks such as speech recognition (asr).

Epoch AI has no training-compute estimate for this model. The model has 705,134,592 parameters. It was trained on roughly 17.5M datapoints.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 1,021 citations.

Full record

Organization: Meta AI
Country of organization: United States
Domain: Speech
Task: Speech recognition (ASR)
Parameters: 705,134,592
Dataset size: 17.5M
Numerical format: FP16
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Citations: 1,021