sentence-transformers How to use aisuko/training with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("aisuko/training")
sentences = [
"<think>\nLet’s think through this step by step\nrp = 500/month\nfp = 10/day\nlp = 60/lesson\nlpw = 2 lessons/week\nyp = 12 months/year\ntotal = (500 × 12) + (10 × 365) + (60 × 2 × 52)\ntotal = 6000 + 3650 + 6240\ntotal = 15890\n</think>\n\\boxed{15890}",
"<think>\nLet’s think through this step by step\nrp = 500/month\nfp = 10/day\nlp = 60/lesson\ntp = (500 × 12) + (10 × 365) + (60 × 2 × 52)\ntp = 6000 + 3650 + 6240\ntp = 15890\n</think>\n\\boxed{15890}",
"<think>\nLet’s think through this step by step\nh1 = 500 ft\nh2 = 2 * h1 = 2 * 500 = 1000 ft\nTotal height = h1 + h2 = 500 + 1000 = 1500 ft\n</think>\n\\boxed{1500}",
"<think>\nLet’s think through this step by step\nfc = 200\nlc = 500\ndc = 500 × 0.8 = 400\nnc = 200 - 50 = 150\ntc = 150 + 400 = 550\n</think>\n\\boxed{550}"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
