sentence-transformers How to use HydroEmbed/HydroEmbed-MCQTF-MiniLM-MNRL with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("HydroEmbed/HydroEmbed-MCQTF-MiniLM-MNRL")
sentences = [
"How does climate change influence the hydrological cycle and streamflow patterns in river basins?",
"Answer: B) The protection of the water environment is essential.",
"Answer: B) Changes in climatic forces and land use/land cover (LULC) changes characterized by re-vegetation",
"Answer: B) Climate change can lead to increased temperatures and altered precipitation patterns, affecting streamflow variability."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
