How to use kiel2/KielEmbed-Code with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kiel2/KielEmbed-Code") sentences = [ "But Close wondered whether the package would be worth the cost of licensing the third-party software , along with Salesforce.com 's rental price .", "Close also questions whether it would be worth the cost of licensing third-party software , along with Salesforce.com 's rental price .", "No tumors were detected ; rather , empty cavities and scar tissue were found in their place .", "A race observer sits in the passenger seat of the follow vehicle to record any broken rules and also keep track of the car 's time ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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