How to use dappradar/setfit-games-multilabel with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dappradar/setfit-games-multilabel") 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]
How to use dappradar/setfit-games-multilabel with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dappradar/setfit-games-multilabel")
Hi just wondering what this model was trainged on and for what inference?
Thanks!
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