sentence-transformers How to use HydroEmbed/HydroEmbed-FITB-MiniLM-DualLoss with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("HydroEmbed/HydroEmbed-FITB-MiniLM-DualLoss")
sentences = [
"The groundwater residence time in the Chashma-Mianwali area was estimated to be in the range of _____ years based on Tracer Lump Parameter Model (LPM) and Chlorofluorocarbons (CFCs) data.",
"14–59",
"point scale; radar data",
"dissolved oxygen"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
