How to use JahnaviKumar/nomic-embed-text1.5-ftcode with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JahnaviKumar/nomic-embed-text1.5-ftcode", trust_remote_code=True) sentences = [ "func SetFactory(ctx context.Context, f Factory) context.Context {\n\treturn", "rm -r path", "Transforms an array into a DateTime.\n\n@param array $value Array value.\n\n@return DateTime DateTime value.", " context.WithValue(ctx, &clockKey, f)\n}" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
