sentence-transformers How to use Corran/SciGenNomicEmbedStatic with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Corran/SciGenNomicEmbedStatic")
sentences = [
"Stating purpose of the current research with reference to gaps or issues in the literature",
"During the 15-year study, 10% of the osseointegrated implants in the edentulous jaw showed signs of peri-implantitis, leading to their failure.",
"This paper provides an in-depth exploration of the qualitative case study methodology, addressing the lack of comprehensive guidance for novice researchers in this area.",
"As a novice researcher in management science, I have been drawn to the qualitative case study methodology due to its ability to provide rich, in-depth insights into complex real-world situations."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
