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  # Structure Extraction Model by NuMind 🔥
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- NuExtract is a fine-tuned version of phi-3-mini, on a private high-quality syntatic dataset for information extraction.
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  To use the model, provide an input text (less than 2000 tokens) and a JSON schema describing the information you need to extract.
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  Note: This model is purely extractive, so each information output by the model is present as it is in the text. You can also provide an example of output to help the model understand your task more precisely.
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  try here: https://huggingface.co/spaces/numind/NuExtract
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  **Checkout other models by NuMind:**
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  * SOTA Zero-shot NER Model [NuNER Zero](https://huggingface.co/numind/NuNER_Zero)
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  * SOTA Multilingual Entity Recognition Foundation Model: [link](https://huggingface.co/numind/entity-recognition-multilingual-general-sota-v1)
 
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  # Structure Extraction Model by NuMind 🔥
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+ NuExtract is a fine-tuned version of [phi-3-mini](microsoft/Phi-3-mini-4k-instruct), on a private high-quality syntatic dataset for information extraction.
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  To use the model, provide an input text (less than 2000 tokens) and a JSON schema describing the information you need to extract.
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  Note: This model is purely extractive, so each information output by the model is present as it is in the text. You can also provide an example of output to help the model understand your task more precisely.
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  try here: https://huggingface.co/spaces/numind/NuExtract
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+ We also provide a tiny(0.5B) and large(7B) version of this model: [NuExtract-tiny](https://huggingface.co/numind/NuExtract-tiny) and [NuExtract-large](https://huggingface.co/numind/NuExtract-large)
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  **Checkout other models by NuMind:**
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  * SOTA Zero-shot NER Model [NuNER Zero](https://huggingface.co/numind/NuNER_Zero)
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  * SOTA Multilingual Entity Recognition Foundation Model: [link](https://huggingface.co/numind/entity-recognition-multilingual-general-sota-v1)