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alexgoldberg/hebrew-manuscript-contents-ner
hebrew-manuscript-contents-ner is a token classification model from alexgoldberg. Use it when you need labels on individual words, such as names.
BIO token-classifier (WORK / FOLIO / WORKAUTHOR) trained on MARC 505 contents fields of Hebrew manuscripts. Part of the MHM (Mapping Hebrew Manuscripts) Pipeline.
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From the Hugging Face model README
BIO token-classifier (WORK / FOLIO / WORK_AUTHOR) trained on MARC 505 contents fields of Hebrew manuscripts. Part of the MHM (Mapping Hebrew Manuscripts) Pipeline.
Architecture: DictaBERT encoder + 2-layer custom NER head (Linear →
ReLU → Dropout → Linear). Custom code in modeling_mhm_ner.py. Load
with trust_remote_code=True. Not on HF Inference Providers
serverless tier; use locally or on a dedicated endpoint.