How to use seanfarrell/pettag_emed_train_test with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("seanfarrell/pettag_emed_train_test") sentences = [ "suntan", "mpox", "Suntan", "acne rosacea" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/seanfarrell/pettag_emed_train_test/resolve/main/tokenizer.json
hf download hf://seanfarrell/pettag_emed_train_test/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/seanfarrell/pettag_emed_train_test/resolve/main/tokenizer.json
