How to use hanwenzhu/all-distilroberta-v1-lr2e-4-bs1024-nneg3-ml-feb22 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hanwenzhu/all-distilroberta-v1-lr2e-4-bs1024-nneg3-ml-feb22") sentences = [ "Mathlib.CategoryTheory.Functor.Flat#6", "CategoryTheory.Category.id_comp", "Fin.isEmpty'", "HomologicalComplex₂.ι_totalDesc" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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