sentence-transformers How to use philipp-zettl/bge-micro-v2-mtg with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("philipp-zettl/bge-micro-v2-mtg")
sentences = [
"314d5e89-55f7-42b4-af19-d4d0f499a265_c808a8ec-895c-4777-9e11-e83ce34eddef",
"https://cards.scryfall.io/normal/front/3/1/314d5e89-55f7-42b4-af19-d4d0f499a265.jpg?1710406384",
"https://cards.scryfall.io/normal/front/c/8/c808a8ec-895c-4777-9e11-e83ce34eddef.jpg?1593272714",
"Title: Killer Instinct\nCost: {4}{R}{G}\nColors: ['G', 'R']\nType: Enchantment\nDesc: At the beginning of your upkeep, reveal the top card of your library. If it's a creature card, put it onto the battlefield. That creature gains haste until end of turn. Sacrifice it at the beginning of the next end step.",
"Title: Ixidor, Reality Sculptor\nCost: {3}{U}{U}\nColors: ['U']\nType: Legendary Creature — Human Wizard\nDesc: Face-down creatures get +1/+1.\n{2}{U}: Turn target face-down creature face up."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [5, 5] 
