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@@ -28,6 +28,12 @@ We provide several versions of different sizes, all based on pre-trained models
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  ❗️Note: `NuExtract-2.0-2B` is based on Qwen2-VL rather than Qwen2.5-VL because the smallest Qwen2.5-VL model (3B) has a more restrictive, non-commercial license. We therefore include `NuExtract-2.0-2B` as a small model option that can be used commercially.
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  ## Overview
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  To use the model, provide an input text/image and a JSON template describing the information you need to extract. The template should be a JSON object, specifying field names and their expected type.
 
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  ❗️Note: `NuExtract-2.0-2B` is based on Qwen2-VL rather than Qwen2.5-VL because the smallest Qwen2.5-VL model (3B) has a more restrictive, non-commercial license. We therefore include `NuExtract-2.0-2B` as a small model option that can be used commercially.
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+ ## Benchmark
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+ Performance on collection of ~1,000 diverse extraction examples containing both text and image inputs.
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+ <a href="https://nuextract.ai/">
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+ <img src="nuextract2_bench.png" width="500"/>
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+ </a>
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+
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  ## Overview
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  To use the model, provide an input text/image and a JSON template describing the information you need to extract. The template should be a JSON object, specifying field names and their expected type.