How to use tmp-org/dm_v1 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("tmp-org/dm_v1")
How to use tmp-org/dm_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tmp-org/dm_v1", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
