MoritzLaurer/ModernBERT-base-zeroshot-v2.0
Primitive: /extract · Extract ·
ModernBERT
This model is answerdotai/ModernBERT-base fine-tuned on the same dataset mix as the `zeroshot-v2.0` models in the Zeroshot Classifiers Collection.
Entities
View on Hugging Face → Fine-tuned from answerdotai/ModernBERT-base
Overview
Hardware: — drives latency, throughput & cost
| Size | 150M params |
|---|---|
| Tasks | /extract |
| License | apache-2.0 |
| Latency | — |
| Throughput | — |
| Cost | — /1M tok |
Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.
Extraction
| Output kinds | Entities |
|---|---|
| Inputs | text |
| Max sequence length | 512 |
Benchmarks
AG News
Topic classification of news articles into world, sports, business, and sci/tech categories
Corpus: 7,600 Queries: 7,600
Quality
accuracy 0.8432
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