sentence-transformers How to use epaulson2/medical-gte-base-eldercare with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("epaulson2/medical-gte-base-eldercare")
sentences = [
"Represent this sentence for searching relevant passages: What is HERS Miconazole 3 used for?",
"Indications For the temporary relief of skin irritations Directions Adults: Take five granules three times daily or as recommended by your healthcare practitioner. Children: Take three granules and follow adult directions.",
"Warnings Do not use on children under 2 years of age unless directed by a doctor. For external use only avoid contact with eyes. Irritation occurs or if there is no improvement within 4 weeks (for athlete's foot and ringworm)irritation occurs or if there is no improvement within 2 weeks (for jock itch).",
"Uses • treats vaginal yeast infections"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
