How to use oriel9p/protsent-esm2-35M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("oriel9p/protsent-esm2-35M") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
Model weights are for the 150, not 35M model
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