NORMA-DEV/Gliner_haystack
15
1---2license: apache-2.03language:4 - multilingual5library_name: gliner6datasets:7 - urchade/pile-mistral-v0.18pipeline_tag: token-classification9---10 11# About12 13GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource-constrained scenarios.14 15 16## Links17 18* Paper: https://arxiv.org/abs/2311.0852619* Repository: https://github.com/urchade/GLiNER20 21## Available models22 23| Release | Model Name | # of Parameters | Language | License |24| - | - | - | - | - |25| v0 | [urchade/gliner_base](https://huggingface.co/urchade/gliner_base)<br>[urchade/gliner_multi](https://huggingface.co/urchade/gliner_multi) | 209M<br>209M | English<br>Multilingual | cc-by-nc-4.0 |26| v1 | [urchade/gliner_small-v1](https://huggingface.co/urchade/gliner_small-v1)<br>[urchade/gliner_medium-v1](https://huggingface.co/urchade/gliner_medium-v1)<br>[urchade/gliner_large-v1](https://huggingface.co/urchade/gliner_large-v1) | 166M<br>209M<br>459M | English <br> English <br> English | cc-by-nc-4.0 |27| v2 | [urchade/gliner_small-v2](https://huggingface.co/urchade/gliner_small-v2)<br>[urchade/gliner_medium-v2](https://huggingface.co/urchade/gliner_medium-v2)<br>[urchade/gliner_large-v2](https://huggingface.co/urchade/gliner_large-v2) | 166M<br>209M<br>459M | English <br> English <br> English | apache-2.0 |28| v2.1 | [urchade/gliner_small-v2.1](https://huggingface.co/urchade/gliner_small-v2.1)<br>[urchade/gliner_medium-v2.1](https://huggingface.co/urchade/gliner_medium-v2.1)<br>[urchade/gliner_large-v2.1](https://huggingface.co/urchade/gliner_large-v2.1) <br>[urchade/gliner_multi-v2.1](https://huggingface.co/urchade/gliner_multi-v2.1) | 166M<br>209M<br>459M<br>209M | English <br> English <br> English <br> Multilingual | apache-2.0 |29 30## Installation31To use this model, you must install the GLiNER Python library:32```33!pip install gliner34```35 36## Usage37Once you've downloaded the GLiNER library, you can import the GLiNER class. You can then load this model using `GLiNER.from_pretrained` and predict entities with `predict_entities`.38 39```python40from gliner import GLiNER41 42model = GLiNER.from_pretrained("urchade/gliner_multi-v2.1")43 44text = """45Cristiano Ronaldo dos Santos Aveiro (Portuguese pronunciation: [kɾiʃˈtjɐnu ʁɔˈnaldu]; born 5 February 1985) is a Portuguese professional footballer who plays as a forward for and captains both Saudi Pro League club Al Nassr and the Portugal national team. Widely regarded as one of the greatest players of all time, Ronaldo has won five Ballon d'Or awards,[note 3] a record three UEFA Men's Player of the Year Awards, and four European Golden Shoes, the most by a European player. He has won 33 trophies in his career, including seven league titles, five UEFA Champions Leagues, the UEFA European Championship and the UEFA Nations League. Ronaldo holds the records for most appearances (183), goals (140) and assists (42) in the Champions League, goals in the European Championship (14), international goals (128) and international appearances (205). He is one of the few players to have made over 1,200 professional career appearances, the most by an outfield player, and has scored over 850 official senior career goals for club and country, making him the top goalscorer of all time.46"""47 48labels = ["person", "award", "date", "competitions", "teams"]49 50entities = model.predict_entities(text, labels)51 52for entity in entities:53 print(entity["text"], "=>", entity["label"])54```55 56```57Cristiano Ronaldo dos Santos Aveiro => person585 February 1985 => date59Al Nassr => teams60Portugal national team => teams61Ballon d'Or => award62UEFA Men's Player of the Year Awards => award63European Golden Shoes => award64UEFA Champions Leagues => competitions65UEFA European Championship => competitions66UEFA Nations League => competitions67Champions League => competitions68European Championship => competitions69```70 71## Named Entity Recognition benchmark result72 7374 75## Model Authors76The model authors are:77* [Urchade Zaratiana](https://huggingface.co/urchade)78* Nadi Tomeh79* Pierre Holat80* Thierry Charnois81 82## Citation83```bibtex84@misc{zaratiana2023gliner,85 title={GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer}, 86 author={Urchade Zaratiana and Nadi Tomeh and Pierre Holat and Thierry Charnois},87 year={2023},88 eprint={2311.08526},89 archivePrefix={arXiv},90 primaryClass={cs.CL}91}92```