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]
