hubert-large-speech-emotion-recognition-russian-dusha-finetuned
Freezed all layers exept projector, classifier and all 24 HubertEncoderLayerStableLayerNorm layers
Params
320 M
Context
—
Downloads 30d
248 K
Likes
15
Download history
daily snapshots · 10 days261 K248 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 | 1.3 GB | 1.9 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
- HubertForSequenceClassification
- Parameters
- 320 M
- Tensor type
- F32
- Vocabulary
- 32
- Layers / heads
- 24 / 16
- Licence
- apache-2.0
- First seen on the Hub
- 2023-05-28
- Training datasets
- xbgoose/dusha
- Added to our catalog
- 2026-07-28
Compare with
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.