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sven-nm/XLM-R-for-classics-AjMCNER
XLM-R-for-classics-AjMCNER is a token classification model from sven-nm. Use it when you need labels on individual words, such as names. The card lists the license as mit.
This model is fine-tuned for historical bibliographical named-entity recognition AjMC-NE-Corpus, so as release in HIPE-2, for 40 epochs, beating all our other models. It is intended to detect persons (authors, mytholo…
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From the Hugging Face model README
This model is fine-tuned for historical bibliographical named-entity recognition AjMC-NE-Corpus, so as release in HIPE-2, for 40 epochs, beating all our other models. It is intended to detect persons (authors, mythological...), works (primary and secondary literature, fragments), objects (manuscript, inscriptions), locations, dates, and scopes (i.e. reference scopes, such as Hom. Il. XI, 106-122). It can be used in a normal token classification pipeline.