sentence-transformers How to use ishandotsh/logembed_a2 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("ishandotsh/logembed_a2")
sentences = [
"writeBlock blk_-2025444374149014902 received exception java.io.IOException: Could not read from stream",
"PAM 5 more authentication failures; logname= uid=0 euid=0 tty=ssh ruser= rhost=218.65.30.30 user=root",
"writeBlock blk_5718472814394212827 received exception java.io.IOException: Could not read from stream",
"Adding an already existing block blk_5697572983288390847"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
