audio-cnn-resnet34-esc50

Akash-Sakala/audio-cnn-resnet34-esc50

Audio Classification21.3M parameterspytorchLicense: cc-by-nc-3.0

Tracked by OpenModelStats since September 27, 2026View on Hugging Face ↗

Downloads 30D: 18
Total downloads: 18
Gained 7D: —
Gained 30D: —
Likes: 0
Rank · tracked models: —; –this week
Parameters: 21.3M
Last source update: Sep 27, 2026

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OpenModelStats began tracking this model on 2026-09-27. Charts appear as daily observations accumulate.

Overview

audio-cnn-resnet34-esc50 is a audio classification model published by Akash-Sakala. OpenModelStats has tracked the model since Sep 27, 2026, most recently observing it Sep 28, 2026.

Published: Sep 27, 2026
Last updated: Sep 27, 2026
Library: pytorch
License: cc-by-nc-3.0
Task: Audio Classification
Parameters: 21,321,074
Spaces: —
Derivative models: —
Velocity 7D/day: —

pytorchsafetensorsaudio-cnn-resnet34audio-classificationenvironmental-sound-classificationesc-50resnetcnntransfer-learningmel-spectrogramdataset:ashraq/esc50base_model:timm/resnet34.tv_in1k

Publisher

Akash-SakalaView publisher statistics →

Derived from timm/resnet34.tv_in1k (reported by the source; parent not yet tracked).

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