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SciLake-Neuroscience-GLiNER-large

Token Classification
Transformers
PyTorch
ner
neuroscience
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xet
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SciLake Neuroscience named-entity recognition

GLiNER-large model finetuned on a selection of relevant entities in the domain of neuroscience, from the openMINDS controlled terms:

  • UBERONParcellation
  • species
  • preparationType
  • technique
  • biologicalSex

Usage 

from gliner import GLiNER

LABELS = ['UBERONParcellation', 'species', 'preparationType', 'technique', 'biologicalSex']
THRESHOLD = xxx # choose your threshold

model = GLiNER.from_pretrained('SIRIS-Lab/SciLake-Neuroscience-GLiNER-large')
entities = model.predict_entities(to_tag, labels=LABELS, threshold=THRESHOLD)
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