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# SpanMarker with bert-base-cased on FewNERD
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This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [FewNERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [bert-base-cased](https://huggingface.co/
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## Model Details
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### Model Description
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- **Model Type:** SpanMarker
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- **Encoder:** [bert-base-cased](https://huggingface.co/
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- **Maximum Sequence Length:** 256 tokens
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- **Maximum Entity Length:** 8 words
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- **Training Dataset:** [FewNERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd)
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# SpanMarker with bert-base-cased on FewNERD
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This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [FewNERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [bert-base-cased](https://huggingface.co/bert-base-cased) as the underlying encoder.
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## Model Details
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### Model Description
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- **Model Type:** SpanMarker
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- **Encoder:** [bert-base-cased](https://huggingface.co/bert-base-cased)
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- **Maximum Sequence Length:** 256 tokens
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- **Maximum Entity Length:** 8 words
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- **Training Dataset:** [FewNERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd)
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