How to use jonny9f/food_embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jonny9f/food_embeddings") sentences = [ "Mutton, roasted", "Imagine Creamy Butternut Squash Soup", "Perrier Water, bottled", "Crackers, whole-wheat" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/jonny9f/food_embeddings/resolve/main/tokenizer.json
hf download hf://jonny9f/food_embeddings/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/jonny9f/food_embeddings/resolve/main/tokenizer.json
