How to use Deehan1866/finetuned-bert-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Deehan1866/finetuned-bert-large") sentences = [ "The valve will open 100% when the set point is reached and will remain open until a certain blow down factor is reached.", "Having raised $17,000,000 in a standard matter, one of the first speculative IPOs, Tucker needed more money to continue development of the car.", "The valve will open 100% when the tennis scoring protocol is reached and will remain open until a certain blow down factor is reached.", "But the government of PML (N) gave it the complete exponential of a Tehsil." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
