Instructions to use mki0809/geosearch-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use mki0809/geosearch-ner with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("mki0809/geosearch-ner") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model": "urchade/gliner_multi-v2.1", | |
| "labels": [ | |
| "CITY", | |
| "REGION", | |
| "STATE", | |
| "COUNTRY" | |
| ], | |
| "words_splitter": "src.ner.tokenizer.CjkAwareSplitter", | |
| "best_epoch": 12, | |
| "best_val_span_f1": 0.763, | |
| "eval_threshold": 0.4, | |
| "trained_at": "2026-08-07T08:49:14+00:00", | |
| "history": [ | |
| { | |
| "epoch": 1, | |
| "precision": 0.72, | |
| "recall": 0.6279, | |
| "f1": 0.6708 | |
| }, | |
| { | |
| "epoch": 2, | |
| "precision": 0.6988, | |
| "recall": 0.6744, | |
| "f1": 0.6864 | |
| }, | |
| { | |
| "epoch": 3, | |
| "precision": 0.7195, | |
| "recall": 0.686, | |
| "f1": 0.7024 | |
| }, | |
| { | |
| "epoch": 4, | |
| "precision": 0.7024, | |
| "recall": 0.686, | |
| "f1": 0.6941 | |
| }, | |
| { | |
| "epoch": 5, | |
| "precision": 0.7262, | |
| "recall": 0.7093, | |
| "f1": 0.7176 | |
| }, | |
| { | |
| "epoch": 6, | |
| "precision": 0.6897, | |
| "recall": 0.6977, | |
| "f1": 0.6936 | |
| }, | |
| { | |
| "epoch": 7, | |
| "precision": 0.7126, | |
| "recall": 0.7209, | |
| "f1": 0.7168 | |
| }, | |
| { | |
| "epoch": 8, | |
| "precision": 0.7356, | |
| "recall": 0.7442, | |
| "f1": 0.7399 | |
| }, | |
| { | |
| "epoch": 9, | |
| "precision": 0.7442, | |
| "recall": 0.7442, | |
| "f1": 0.7442 | |
| }, | |
| { | |
| "epoch": 10, | |
| "precision": 0.7558, | |
| "recall": 0.7558, | |
| "f1": 0.7558 | |
| }, | |
| { | |
| "epoch": 11, | |
| "precision": 0.75, | |
| "recall": 0.7674, | |
| "f1": 0.7586 | |
| }, | |
| { | |
| "epoch": 12, | |
| "precision": 0.7586, | |
| "recall": 0.7674, | |
| "f1": 0.763 | |
| }, | |
| { | |
| "epoch": 13, | |
| "precision": 0.7586, | |
| "recall": 0.7674, | |
| "f1": 0.763 | |
| }, | |
| { | |
| "epoch": 14, | |
| "precision": 0.7586, | |
| "recall": 0.7674, | |
| "f1": 0.763 | |
| }, | |
| { | |
| "epoch": 15, | |
| "precision": 0.7586, | |
| "recall": 0.7674, | |
| "f1": 0.763 | |
| } | |
| ], | |
| "hyperparameters": { | |
| "epochs": 15, | |
| "batch_size": 8, | |
| "learning_rate": 5e-06, | |
| "others_lr": 1e-05, | |
| "weight_decay": 0.01, | |
| "warmup_ratio": 0.1, | |
| "seed": 42 | |
| } | |
| } |