sentence-transformers 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] 
