How to use zacbrld/MNLP_M3_document_encoder_300tok with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zacbrld/MNLP_M3_document_encoder_300tok") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
Fine-tuned SentenceTransformer model for retrieving high-quality scientific chunks in STEM disciplines.
Base model: sentence-transformers/all-MiniLM-L6-v2
sentence-transformers/all-MiniLM-L6-v2
Files info
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zacbrld/MNLP_M3_document_encoder_300tok") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]