roberta-base-go_emotions
Model trained from roberta-base on the goemotions dataset for multi-label classification.
Params
120 M
Context
512
Downloads 30d
854 K
Likes
692
Download history
daily snapshots · 55 days
▲ 223 in the last 30 days (0.0%)
854 K544 K
Aug 22Sep 1Sep 11Sep 20
1.0 M544 K
Jul 28Aug 15Sep 2Sep 20
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 | 0.5 GB | 1.1 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
- RobertaForSequenceClassification
- Parameters
- 120 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 50,265
- Layers / heads
- 12 / 12
- Licence
- mit
- First seen on the Hub
- 2022-09-15
- Training datasets
- go_emotions
- Added to our catalog
- 2026-07-28
Compare with any text-classification model