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
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Download history
daily snapshots · 10 days751 K637 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 | 0.7 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
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