Token Classification
GLiNER
PyTorch
English
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  # Model Card for Model ID
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- This model is a fine-tune of [GLiNER](https://huggingface.co/urchade/gliner_large-v2.1) aimed at improving accuracy across a broad range of topics, especially with respect to long-context news entity extraction. As hown in the table below, these fine-tunes improved upon the base GLiNER model zero-shot accuracy by up to 7.5% across 18 benchmark datasets.
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  ![results table](assets/zero-shot_20_table.png)
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+ This model is a fine-tune of [GLiNER](https://huggingface.co/urchade/gliner_large-v2.1) aimed at improving accuracy across a broad range of topics, especially with respect to long-context news entity extraction. As shown in the table below, these fine-tunes improved upon the base GLiNER model zero-shot accuracy by up to 7.5% across 18 benchmark datasets.
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  ![results table](assets/zero-shot_20_table.png)
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