sentence-transformers How to use bobox/DeBERTa3-s-CustomPoolin-toytest-step1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("bobox/DeBERTa3-s-CustomPoolin-toytest-step1")
sentences = [
"A picture of a white gas range with figurines above.",
"A nerdy woman brushing her teeth with a friend nearby.",
"a white stove turned off with a digital clock",
"The plasma membrane also contains other molecules, primarily other lipids and proteins. The green molecules in Figure above , for example, are the lipid cholesterol. Molecules of cholesterol help the plasma membrane keep its shape. Many of the proteins in the plasma membrane assist other substances in crossing the membrane."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
