audeering / audio-classification updated 1 year ago

wav2vec2-large-robust-12-ft-emotion-msp-dim

Please note that this model is for research purpose only. A commercial license for a model that has been trained on much more data can be acquired with audEERING. The model expects a raw audio signal as input, and outputs predictions for arousal, dominance and valence in a range of approximately 0...1. In addition, it provides the pooled states of the last transformer layer. The model was created by fine-tuning Wav2V...

Params
170 M
Context
Downloads 30d
751 K
Likes
173
Commercial use: not allowed · cc-by-nc-sa-4.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days
751 K637 K
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Can you run it?

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

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors f32 0.7 GB 1.3 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
Wav2Vec2ForSpeechClassification
Parameters
170 M
Tensor type
F32
Layers / heads
12 / 16
Licence
cc-by-nc-sa-4.0
First seen on the Hub
2022-04-06
Training datasets
msp-podcast
Added to our catalog
2026-07-28