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from gensim.models import FastText
model = FastText.load("kubhist2_increm_1880/kubhist2_tokens_1880.ft")
# obtain the full list of words
words = list(model.wv.index_to_key)
dim = model.wv.vector_size
with open("sv.vectors", "w", encoding="utf8") as f:
f.write(f"{len(words)} {dim}\n")
for w in words:
vec = model.wv[w]
f.write(w + " " + " ".join(map(str, vec)) + "\n") |