MERT v1 330M
model·music embedding model·active
Self-supervised acoustic-music representation checkpoint for downstream MIR tasks.
Verified facts
| Official site | https://huggingface.co/m-a-p/MERT-v1-330M ↗ |
|---|---|
| Geography | unknown |
| parameter count | 330M |
| huggingface repo | m-a-p/MERT-v1-330M |
| api | unknown |
| inputs | 24 kHz music audio |
| license | CC-BY-NC-4.0 |
| outputs | music embeddings at 75 Hz |
| weights | public |
| modalities | 24 kHz music audio; music embeddings at 75 Hz |
| dependencies | unknown |
| model family | MERT |
| access method | downloadable weights; Hugging Face Transformers |
| exact version | MERT-v1-330M |
| repository links | https://huggingface.co/m-a-p/MERT-v1-330M |
| evaluation results | unknown |
| evidence separation | developer claims: · measured results: · independent evaluations: |
| developer maintainer | M-A-P |
| material us relevance | Publicly accessible in or materially offered to the United States market as of snapshot. |
| documented capabilities | music feature extraction; audio classification finetuning |
| products exposing model | unknown |
| commercial use conditions | Model weights are non-commercial under CC-BY-NC-4.0. |
| known geographic or policy restrictions | Non-commercial weights |
| safety watermarking disclosure provenance | unknown |
Current
| introduces (by) | MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training 2023-05-31 — now |
|---|
Sources & changes
1d ago · highhow verification works
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