How to use Alexhuou/embedder_model_FT with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Alexhuou/embedder_model_FT") sentences = [ "Perchloric acid (HClO4) is considered one of the stronger acids in existence. Which of the following statements corresponds most accurately with strong acids?", "Who argued that if an organization did not affect a public then there was no need for a practitioner to consider that public in its communications?", "Glycogen breakdown in exercising muscle is activated by:", "The collision theory of reaction rates does not include" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
