Sponsored by APIMart
Toolify Toolify logo
AI Models
effnet-discogs

mtg / effnet-discogs

An EfficientNet for music style classification by 400 styles from the Discogs taxonomy

Run on replicate.com View the github
replicate.com
Total runs: 148.4K
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Github
Model's Last Updated: May 25 2023

Introduction of effnet-discogs

Model Details of effnet-discogs

Readme

effnet-discogs

effnet-discogs is an EfficientNet architecture trained to predict music styles for 400 of the most popular Discogs music styles . The output plot also shows the Discogs genre the predicted style belongs to.

This model was trained in more than two million music recordings from an in-house dataset annotated by Discogs metadata and is part of an ongoing research.

The architecture consists of an EfficientNet on its B0 configuration with an additional penultimate dense layer plus batch normalization to facilitate using the model as an embedding extractor.

This demo outputs the top_n music style activations, summarized as their mean and standard deviation through time.

License

This model is part of Essentia Models made by MTG-UPF .

Pricing of effnet-discogs replicate.com

Run time and cost

This model costs approximately $0.00095 to run on Replicate, or 1052 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker .

This model runs on CPU hardware . Predictions typically complete within 10 seconds. The predict time for this model varies significantly based on the inputs.

Runs of mtg effnet-discogs on replicate.com

148.4K
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About effnet-discogs replicate.com Model

More effnet-discogs license Visit here:

https://essentia.upf.edu/models.html

effnet-discogs replicate.com

effnet-discogs replicate.com is an AI model on replicate.com that provides effnet-discogs's model effect (An EfficientNet for music style classification by 400 styles from the Discogs taxonomy), which can be used instantly with this mtg effnet-discogs model. replicate.com supports a free trial of the effnet-discogs model, and also provides paid use of the effnet-discogs. Support call effnet-discogs model through api, including Node.js, Python, http.

effnet-discogs replicate.com Url

https://replicate.com/mtg/effnet-discogs

mtg effnet-discogs online free

effnet-discogs replicate.com is an online trial and call api platform, which integrates effnet-discogs's modeling effects, including api services, and provides a free online trial of effnet-discogs, you can try effnet-discogs online for free by clicking the link below.

mtg effnet-discogs online free url in replicate.com:

https://replicate.com/mtg/effnet-discogs

effnet-discogs install

effnet-discogs is an open source model from GitHub that offers a free installation service, and any user can find effnet-discogs on GitHub to install. At the same time, replicate.com provides the effect of effnet-discogs install, users can directly use effnet-discogs installed effect in replicate.com for debugging and trial. It also supports api for free installation.

effnet-discogs install url in replicate.com:

https://replicate.com/mtg/effnet-discogs

effnet-discogs install url in github:

https://github.com/mtg/essentia-replicate-demos

Url of effnet-discogs

effnet-discogs replicate.com Url

effnet-discogs Owner Github

Provider of effnet-discogs replicate.com

mtg
https://github.com/mtg
ORGANIZATIONS
replicate.com

Other API from mtg

 replicate
mtg/music-classifiers

Transfer learning models for music classification by genres, moods, and instrumentation

Total runs: 10.0K
Run Growth: 0
Growth Rate: 0.00%
Updated:June 13 2024
replicate
mtg/music-arousal-valence

Regression of musical arousal and valence values

Total runs: 8.6K
Run Growth: 0
Growth Rate: 0.00%
Updated:February 18 2025
replicate
mtg/maest

MAEST is a family of Transformer models based on PASST and focused on music analysis applications. The MAEST models are also available for inference in the Essentia library and for inference and training in the official repository.

Total runs: 1.8K
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2023
replicate
mtg/essentia-bpm

Tempo BPM estimation with Essentia

Total runs: 727
Run Growth: 0
Growth Rate: 0.00%
Updated:November 30 2023