How to use guyhadad01/EncodeRec with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("guyhadad01/EncodeRec") 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]
https://huggingface.co/guyhadad01/EncodeRec/resolve/f4e1a2fcc6df36b032b29f88277ab1720ced1067/tokenizer.json
hf download hf://guyhadad01/EncodeRec@f4e1a2fcc6df36b032b29f88277ab1720ced1067/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/guyhadad01/EncodeRec/resolve/f4e1a2fcc6df36b032b29f88277ab1720ced1067/tokenizer.json
