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Model Overview

This is a fine-tuned RoBERTa-large model trained to capture PER, ORG, LOC, MISC entities in UK parliamentary speech text from the Historic Hansard (1802-1899).

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Safetensors

Model size

0.4B params

Tensor type

F32