SBERT Sentence Similarity in Python (Simple Similarity)
In this video, I show you how to use SBERT (Sentence-BERT) to calculate sentence similarity in Python using the built-in similarity function.
We will:
✔ Load the SBERT model (all-MiniLM-L6-v2)
✔ Encode sentences into embeddings
✔ Calculate similarity between sentences
Code used in the video:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('all-MiniLM-L6-v2')
sentences = [
'I love data science',
'I enjoy machine learning',
'I wanna be data analysis',
'I love playing game'
]
emb = model.encode(sentences, convert_to_tensor=True)
similarity = model.similarity(emb, emb)
print(similarity)
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