sentence-transformers How to use Stevenf232/context_fine-tuned-SapBERT with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Stevenf232/context_fine-tuned-SapBERT")
sentences = [
"anencephaly [SEP] Sequential observations of exencephaly and subsequent morphological changes by mouse exo utero development system: analysis of t",
"Hemostatic Disorders [SEP] Pathological processes involving the integrity of blood circulation. Hemostasis depends on the integrity of BLOOD VESSELS, blood",
"Pentylenetetrazole [SEP] A pharmaceutical agent that displays activity as a central nervous system and respiratory stimulant. It is considered a non-comp",
"Epilepsy [SEP] A disorder characterized by recurrent episodes of paroxysmal brain dysfunction due to a sudden, disorderly, and excessive neuron"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
