sentence-transformers How to use Matjac5/MNLP_M3_rag_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Matjac5/MNLP_M3_rag_model")
sentences = [
"how many seconds will a 450 m long train take to cross a man walking with a speed of 3 km / hr in the direction of the moving train if the speed of the train is 63 km / hr ?",
"'",
"[",
"2"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
