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glov.py

@@ -0,0 +1,25 @@
+import gensim
+import joblib
+from gensim.models import KeyedVectors
+
+if False:
+	# Load full model (if memory allows)
+	glove = joblib.load("glove_batch.model")
+
+	# Convert to memory-efficient KeyedVectors format
+	kv = gensim.models.KeyedVectors(vector_size=glove["no_components"])
+	kv.add_vectors(list(glove["dictionary"].keys()), list(glove["word_vectors"]))
+
+	# Save smaller KeyedVectors file
+	kv.save("glove_keyed_vectors.kv")
+	print("Saved as KeyedVectors! Now reload with less memory.")
+
+
+from gensim.models import KeyedVectors
+
+vectors = KeyedVectors.load("glove_keyed_vectors.kv")
+print(vectors.most_similar("sistema", topn=5))
+
+text = "posao,raditi"
+a = [x.strip() for x in text.split(",")]
+print(vectors.distance(*a))

glove_batch.model

@@ -1,3 +1,3 @@
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glove_keyed_vectors.kv

@@ -1,3 +1,3 @@
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+size 177288751

glove_keyed_vectors.kv.vectors.npy

@@ -1,3 +1,3 @@
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