Token Classification
Transformers
PyTorch
English
bert
biology
medical
zero-shot
few-shot
Inference Endpoints
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+ #Model takes as input two strings. String1 is NER label. String1 must be phrase for entity. String2 is short text where String1 is searched for semantically.
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+ #model outputs list of zeros and ones corresponding to the occurance of NER and corresponing to tokens(tokens given by transformer tokenizer) of the Sring2, not to words.