Task
Audio Classification
M
m-a-p/MERT-v1-330M
Audio Classification·m-a-p· 466.6K· 90
transformers
cc-by-nc-4.0
arxiv:2306.00107license:cc-by-nc-4.0region:us
The development log of our Music Audio Pre-training (m-a-p) model family: - 02/06/2023: arxiv pre-print and training codes released. - 17/03/2023: we release two advanced music understanding models, MERT-v1-95M and MERT-v1-330M , trained with new paradigm and dataset. They outperform the previous models and can better generalize to more tasks. - 14/03/2023: we retrained the MERT-v0 model with open
# pull & run locally
pip install mlforge-sdk && mlforge pull m-a-p/MERT-v1-330M
pip install mlforge-sdk && mlforge pull m-a-p/MERT-v1-330M
Model details
Provider
m-a-p
Framework
transformers
Size
6.1 GB
License
cc-by-nc-4.0
Downloads
466.6K
Likes
90
Paper
arXiv:2306.00107
Updated
2025-05-25
About m-a-p/MERT-v1-330M
The development log of our Music Audio Pre-training (m-a-p) model family: - 02/06/2023: arxiv pre-print and training codes released. - 17/03/2023: we release two advanced music understanding models, MERT-v1-95M and MERT-v1-330M , trained with new paradigm and dataset. They outperform the previous models and can better generalize to more tasks. - 14/03/2023: we retrained the MERT-v0 model with open-source-only music dataset MERT-v0-public - 29/12/2022: a music understanding model MERT-v0 trained with MLM paradigm, which performs better at downstream tasks. - 29/10/2022: a pre-trained MIR model music2vec trained with BYOL paradigm.
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