robertuito-sentiment-analysis
Model trained with TASS 2020 corpus (around ~5k tweets) of several dialects of Spanish. Base model is RoBERTuito, a RoBERTa model trained in Spanish tweets.
Params
110 M
Context
128
Downloads 30d
459 K
Likes
113
Download history
daily snapshots · 106 days
▲ 6 K in the last 30 days (1.4%)
473 K392 K
Oct 12Oct 22Nov 1Nov 10
1.1 M392 K
Aug 13Sep 12Oct 12Nov 10
1.1 M392 K
Jul 28Sep 1Oct 6Nov 10
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 | 0.4 GB | 1.0 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
- 110 M
- Tensor type
- F32
- Context length
- 128
- Vocabulary
- 30,002
- Layers / heads
- 12 / 12
- First seen on the Hub
- 2022-03-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any text-classification model