How to use KameronB/IT-embeddinggemma with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KameronB/IT-embeddinggemma") sentences = [ "The iPhone Bluetooth connection drops unexpectedly during use.", "The customer is asking how to update apps on their iPhone automatically.", "The device loses power quickly despite showing a 100% battery level earlier.", "Bluetooth devices disconnect frequently when paired with the iPhone." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
