How to use korruz/mpnet-base-all-nli-triplet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("korruz/mpnet-base-all-nli-triplet") sentences = [ "People on bicycles waiting at an intersection.", "More than one person on a bicycle is obeying traffic laws.", "The people are on skateboards.", "People waiting at a light on bikes." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/korruz/mpnet-base-all-nli-triplet/resolve/main/tokenizer.json
hf download hf://korruz/mpnet-base-all-nli-triplet/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/korruz/mpnet-base-all-nli-triplet/resolve/main/tokenizer.json
