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Update README.md
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README.md
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- zero-shot
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---
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-
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-
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* a more powerful version of GLiNER-large-v2.1, surpassing it by **+4.5% on average**
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* is trained on the **diverse dataset tailored for real-life use cases**
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```python
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from gliner import GLiNER
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model = GLiNER.from_pretrained("numind/
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# NuZero requires labels to be lower-cased!
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labels = ["person", "award", "date", "competitions", "teams"]
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- zero-shot
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---
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NuNerZero - 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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NuNerZero span is:
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* a more powerful version of GLiNER-large-v2.1, surpassing it by **+4.5% on average**
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* is trained on the **diverse dataset tailored for real-life use cases**
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```python
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from gliner import GLiNER
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model = GLiNER.from_pretrained("numind/NuNerZero_span")
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# NuZero requires labels to be lower-cased!
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labels = ["person", "award", "date", "competitions", "teams"]
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