sentence-transformers How to use Applied-Artificial-Intelligence-Eurecat/water-governance-bge-m3 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Applied-Artificial-Intelligence-Eurecat/water-governance-bge-m3")
sentences = [
"How many video lectures were recorded during the first recording session in October 2023?",
"How are governance gaps translated into actionable recommendations?",
"Give me the list of the 16 water governance principles, which ones are not from the OECD? How are they organized?"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3] 
