twitter-roberta-base-sentiment-latest vs deberta-v3-base-prompt-injection-v2
Specs, VRAM requirements and download trends — updated 21 September 2026.
cardiffnlp · A
Params
—
Context
512
30d
3.1 M
cc-by-4.0 · commercial OK
protectai · B
Params
180 M
Context
512
30d
852 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | twitter-roberta-base-sentiment-latest | deberta-v3-base-prompt-injection-v2 |
|---|---|---|
| Parameters | — | 180 M |
| Architecture | RobertaForSequenceClassification | DebertaV2ForSequenceClassification |
| Context length | 512 | 512 |
| Licence | cc-by-4.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 3,134,269 | 851,682 |
| Downloads all time | 328.0 M | 7.1 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-15 | 2024-04-20 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
3.3 M272 K
twitter-roberta-base-sentiment-latest
deberta-v3-base-prompt-injection-v2
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
deberta-v3-base-prompt-injection-v2 · fp16
1.3 GB / 24 GB
Adjacent comparisons
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finbert vs twitter-roberta-base-sentiment-latest
Prompt-Guard-86M vs twitter-roberta-base-sentiment-latest
bge-reranker-base vs twitter-roberta-base-sentiment-latest
distilbert-base-uncased-finetuned-sst-2-english vs twitter-roberta-base-sentiment-latest
bge-reranker-v2-m3 vs deberta-v3-base-prompt-injection-v2