How to use TatvaRA/gte-base-finetuned-schorlaships-matryonshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("TatvaRA/gte-base-finetuned-schorlaships-matryonshka") sentences = [ "What is the maximum value of equipment that can be purchased with a CUE Student Research Project Grant?", "Equipment costs (valued up to $1000).", "Variable awards to recognize and reward academic achievement at the senior high school level and to encourage students to pursue post -secondary studies.", "The Amazon Future Engineer Scholarship provides students with an opportunity to upgrade their careers with a $7,500 CAD/year scholarship available for up to four years." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
