ai4data / gliner_datause

huggingface.co
Total runs: 1.7K
24-hour runs: 0
7-day runs: -335
30-day runs: -335
Model's Last Updated: August 16 2026
token-classification

Introduction of gliner_datause

Model Details of gliner_datause

gliner_datause_extended

Fine-tune of urchade/gliner_large-v2.1 for data-use mention extraction (dataset / survey / census / registry mentions in economics research papers).

Labels
  • NAMED_DATA — a proper name, title, or acronym of a specific data source
  • DESCRIPTIVE_DATA — a source described in words but not named
  • VAGUE_DATA — generic data wording with no identifiable source
Training
  • base model: urchade/gliner_large-v2.1
  • dataset: rafmacalaba/data-use-mentions-extended (gliner config)
  • epochs: 5
  • learning rate: 5e-06
  • batch size: 16
  • precision: bf16
Evaluation (holdout)
thr tp fp fn precision recall f0.5 f1
0.10 12275 8853 289 0.5810 0.9770 0.6322 0.7287
0.20 12153 6445 411 0.6535 0.9673 0.6988 0.7800
0.30 12013 5218 551 0.6972 0.9561 0.7371 0.8064
0.40 11844 4143 720 0.7409 0.9427 0.7740 0.8297
0.50 11489 3002 1075 0.7928 0.9144 0.8145 0.8493
0.60 10542 1935 2022 0.8449 0.8391 0.8437 0.8420
0.70 8396 940 4168 0.8993 0.6683 0.8411 0.7668

Best F0.5 : 0.8437 (thr=0.6) Best F1 : 0.8493 (thr=0.5)

NER holdout comparison

device: NVIDIA H100 NVL

rafmacalaba/data-use-mentions-extended (n=9249)
model backend best F0.5 thr best F1 thr wall-clock (s) texts/s
ai4data/gliner_datause gliner 0.8437 0.6 0.8493 0.5 200.9 46.0
ai4data/gliner2_datause gliner2 0.8634 0.7 0.8624 0.6 181.0 51.1

F0.5 by threshold (sweet spots side-by-side):

thr ai4data/gliner_datause ai4data/gliner2_datause
0.1 0.6321 0.7321
0.2 0.6987 0.7712
0.3 0.7371 0.7979
0.4 0.7740 0.8201
0.5 0.8145 0.8363
0.6 0.8437 0.8523
0.7 0.8411 0.8634

Runs of ai4data gliner_datause on huggingface.co

1.7K
Total runs
0
24-hour runs
-95
3-day runs
-335
7-day runs
-335
30-day runs

More Information About gliner_datause huggingface.co Model

More gliner_datause license Visit here:

https://choosealicense.com/licenses/apache-2.0

gliner_datause huggingface.co

gliner_datause huggingface.co is an AI model on huggingface.co that provides gliner_datause's model effect (), which can be used instantly with this ai4data gliner_datause model. huggingface.co supports a free trial of the gliner_datause model, and also provides paid use of the gliner_datause. Support call gliner_datause model through api, including Node.js, Python, http.

gliner_datause huggingface.co Url

https://huggingface.co/ai4data/gliner_datause

ai4data gliner_datause online free

gliner_datause huggingface.co is an online trial and call api platform, which integrates gliner_datause's modeling effects, including api services, and provides a free online trial of gliner_datause, you can try gliner_datause online for free by clicking the link below.

ai4data gliner_datause online free url in huggingface.co:

https://huggingface.co/ai4data/gliner_datause

gliner_datause install

gliner_datause is an open source model from GitHub that offers a free installation service, and any user can find gliner_datause on GitHub to install. At the same time, huggingface.co provides the effect of gliner_datause install, users can directly use gliner_datause installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

gliner_datause install url in huggingface.co:

https://huggingface.co/ai4data/gliner_datause

Url of gliner_datause

gliner_datause huggingface.co Url

Provider of gliner_datause huggingface.co

ai4data
ORGANIZATIONS

Other API from ai4data