MIT / audio-classification updated 2 years ago

ast-finetuned-audioset-10-10-0.4593

Name: ast-finetuned-audioset-10-10-0.4593
Author: MIT

Audio Spectrogram Transformer (AST) model fine-tuned on AudioSet. It was introduced in the paper AST: Audio Spectrogram Transformer by Gong et al. and first released in this repository.

Params

90 M

Context

—

Downloads 30d

1.2 M

Likes

363

Commercial use: allowed bsd-3-clause Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.2 M620 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	0.3 GB	0.9 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: ASTForAudioClassification
Parameters: 90 M
Tensor type: F32
Layers / heads: 12 / 12
Licence: bsd-3-clause
First seen on the Hub: 2022-11-14
Training datasets: undisclosed
Added to our catalog: 2026-07-28

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Appears in

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