How to use brilan/procedure-tool-matching_10_epochs with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("brilan/procedure-tool-matching_10_epochs") sentences = [ "Abuse network protocol to move to other host", "Update older files in the archive and add files that are not already in the archive.", "use to securely connect to remote systems over an insecure network via ssh and provide a secure channel for logging into another computer and executing commands remotely. ", "Get user name and group information along with the respective security identifiers (SID) claims privileges logon identifier (logon ID) for the current user on the local system." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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