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# SpanMarker with bert-base-uncased on Inspec
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This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [Inspec](https://huggingface.co/datasets/midas/inspec) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [bert-base-uncased](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-uncased](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:** [Inspec](https://huggingface.co/datasets/midas/inspec)
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# SpanMarker with bert-base-uncased on Inspec
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This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [Inspec](https://huggingface.co/datasets/midas/inspec) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [bert-base-uncased](https://huggingface.co/bert-base-uncased) as the underlying encoder. See [train.py](train.py) for the training script.
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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-uncased](https://huggingface.co/bert-base-uncased)
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- **Maximum Sequence Length:** 256 tokens
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- **Maximum Entity Length:** 8 words
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- **Training Dataset:** [Inspec](https://huggingface.co/datasets/midas/inspec)
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