license: mit | |
# Zero- and Few-shot NER model | |
## Model description | |
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. | |
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. | |
## Citation |