How to use ivanleomk/mpnet-base-all-nli-triplet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ivanleomk/mpnet-base-all-nli-triplet") sentences = [ "A man is jumping unto his filthy bed.", "A young male is looking at a newspaper while 2 females walks past him.", "The bed is dirty.", "The man is on the moon." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/ivanleomk/mpnet-base-all-nli-triplet/resolve/main/tokenizer.json
hf download hf://ivanleomk/mpnet-base-all-nli-triplet/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ivanleomk/mpnet-base-all-nli-triplet/resolve/main/tokenizer.json
