How to use jonny9f/food_embeddings2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jonny9f/food_embeddings2") sentences = [ "Egg white, scrambled", "Peaches, Frozen, Sliced, Sweetened", "Egg White Replacer, Loprofin", "Lemon, wedges (usually a garnish)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/jonny9f/food_embeddings2/resolve/main/tokenizer.json
hf download hf://jonny9f/food_embeddings2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/jonny9f/food_embeddings2/resolve/main/tokenizer.json
