sentence-transformers How to use Matjac5/MNLP_M2_rag_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Matjac5/MNLP_M2_rag_model")
sentences = [
"What's one characteristic that separates a person from a stuffed dummy?",
"accidental",
"experience pain",
"wrong place"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
