Token Classification
GLiNER
PyTorch
multilingual
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Add model card

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  license: apache-2.0
 
 
 
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  license: apache-2.0
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+ language:
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+ - multilingual
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+ pipeline_tag: token-classification
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  ---
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+
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+ # Model Card for GLiNER-multi
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+
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+ GLiNER 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.
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+
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+ ## Links
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+
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+ * Paper: https://arxiv.org/abs/2311.08526
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+ * Repository: https://github.com/urchade/GLiNER
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+
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+ ## Installation
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+ To use this model, you must download the GLiNER repository and install its dependencies:
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+ ```
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+ !git clone https://github.com/urchade/GLiNER.git
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+ %cd GLiNER
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+ !pip install -r requirements.txt
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+ ```
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+
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+ ## Usage
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+ Once you've downloaded the GLiNER repository, you can import the GLiNER class from the `model` file. You can then load this model using `GLiNER.from_pretrained` and predict entities with `predict_entities`.
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+
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+ ```python
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+ from model import GLiNER
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+
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+ model = GLiNER.from_pretrained("urchade/gliner_multi")
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+
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+ text = """
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+ Cristiano 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.
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+ """
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+
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+ labels = ["person", "award", "date", "competitions", "teams"]
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+
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+ entities = model.predict_entities(text, labels)
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+
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+ for entity in entities:
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+ print(entity["text"], "=>", entity["label"])
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+ ```
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+
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+ ```
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+ Cristiano Ronaldo dos Santos Aveiro => person
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+ 5 February 1985 => date
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+ Saudi Pro League => competitions
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+ Al Nassr => teams
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+ Portugal national team => teams
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+ Ballon d'Or => award
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+ UEFA Men's Player of the Year Awards => award
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+ European Golden Shoes => award
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+ UEFA Champions Leagues => competitions
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+ UEFA European Championship => competitions
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+ UEFA Nations League => competitions
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+ Champions League => competitions
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+ European Championship => competitions
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+ ```
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+
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+ ```python
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+ from model import GLiNER
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+
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+ model = GLiNER.from_pretrained("urchade/gliner_multi")
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+
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+ text = """
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+ Это старый-добрый Римантадин, только в сиропе.
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+ """
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+ # Gold: Римантадин - Drugname, сиропе - Drugform
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+
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+ labels = ["Drugname", "Drugform"]
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+
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+ entities = model.predict_entities(text, labels)
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+
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+ for entity in entities:
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+ print(entity["text"], "=>", entity["label"])
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+ ```
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+
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+ ```
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+ Римантадин => Drugname
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+ сиропе => Drugform
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+ ```
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+
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+ ## Named Entity Recognition benchmark result
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317233cc92fd6fee317e030/Y5f7tK8lonGqeeO6L6bVI.png)
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+
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+ ## Model Authors
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+ The model authors are:
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+ * [Urchade Zaratiana](https://huggingface.co/urchade)
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+ * Nadi Tomeh
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+ * Pierre Holat
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+ * Thierry Charnois
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+
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+ ## Citation
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+ ```bibtex
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+ @misc{zaratiana2023gliner,
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+ title={GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer},
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+ author={Urchade Zaratiana and Nadi Tomeh and Pierre Holat and Thierry Charnois},
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+ year={2023},
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+ eprint={2311.08526},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```