How to use samanvitha7/semeval2026-bge_large-bge-large-all-bge_expanded-checkpoints with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("samanvitha7/semeval2026-bge_large-bge-large-all-bge_expanded-checkpoints") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
