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README.md
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NuZero - is the family of Zero-Shot Entity Recognition models inspired by [GLiNER](https://huggingface.co/papers/2311.08526) and built with insights we gathered throughout our work on [NuNER](https://huggingface.co/collections/numind/nuner-token-classification-and-ner-backbones-65e1f6e14639e2a465af823b).
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The key differences between NuZero Token Long in comparison to GLiNER are:
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* **4096 context window!** vs 512 context. This allows processing a page at time vs a
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* The possibility to **detect entities that are longer than 12 tokens**, as NuZero Token operates on the token level rather than on the span level.
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* NuZero family is trained on the **diverse dataset tailored for real-life use cases**
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NuZero - is the family of Zero-Shot Entity Recognition models inspired by [GLiNER](https://huggingface.co/papers/2311.08526) and built with insights we gathered throughout our work on [NuNER](https://huggingface.co/collections/numind/nuner-token-classification-and-ner-backbones-65e1f6e14639e2a465af823b).
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The key differences between NuZero Token Long in comparison to GLiNER are:
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* **4096 context window!** vs 512-token context in GLiNER. This allows processing a page at a time vs a few sentences!
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* The possibility to **detect entities that are longer than 12 tokens**, as NuZero Token operates on the token level rather than on the span level.
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* NuZero family is trained on the **diverse dataset tailored for real-life use cases**
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