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--- |
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license: apache-2.0 |
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base_model: |
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- urchade/gliner_multi-v2.1 |
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- microsoft/mdeberta-v3-base |
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language: |
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- multilingual |
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library_name: gliner |
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tags: |
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- OpenVINO |
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- GLiNER |
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pipeline_tag: token-classification |
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--- |
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# About |
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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). |
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It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, |
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despite their flexibility, are costly and large for resource-constrained scenarios. |
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This is the OpenVINO's Intermediate Representation version with fp16 compression. |
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## Links |
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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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## Installation |
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WIP |
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## Usage |
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WIP |
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