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Hello,
When using the demo with the word "Height", the sense "auto" and the year "2019" the results are amazing while running through spacy the results are completly different.
Hello,
When using the demo with the word "Height", the sense "auto" and the year "2019" the results are amazing while running through spacy the results are completly different.
example:
import spacy
nlp_spacy = spacy.load("en_core_web_sm")
s2v = nlp_spacy.add_pipe("sense2vec")
s2v.from_disk("s2v_reddit_2019_lg")
doc = nlp_spacy("Height")
assert doc[:].text == "Height"
freq = doc[:]..s2v_freq
vector = doc[:]..s2v_vec
most_similar = doc[:]._.s2v_most_similar(3)
Why is that? and how can I get the same results as in the demo?
Thanks.
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