chula-overflow-nlp

embed.py

Input - (String) sentence to be embedded
Output - (numpy.ndarray) shape of (768, ) embedded vector of a sentence

measure.py

Input - (numpy.ndarray) shape of (768, ) embedded vector of a sentence
Output - (numpy.float64) cosine sim of two vectors

requirements

sentence-transformers