How to use SwarajSolanke-turtle/make-model-SimCSE-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SwarajSolanke-turtle/make-model-SimCSE-embedding") sentences = [ "bmw ix", "bmw ix", "bmw x7", "bmw i5" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/SwarajSolanke-turtle/make-model-SimCSE-embedding/resolve/main/tokenizer.json
hf download hf://SwarajSolanke-turtle/make-model-SimCSE-embedding/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/SwarajSolanke-turtle/make-model-SimCSE-embedding/resolve/main/tokenizer.json
