How to use datasaur-dev/baseline-10-tweets-sarcasm-all-mpnet-base-v2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("datasaur-dev/baseline-10-tweets-sarcasm-all-mpnet-base-v2")
How to use datasaur-dev/baseline-10-tweets-sarcasm-all-mpnet-base-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("datasaur-dev/baseline-10-tweets-sarcasm-all-mpnet-base-v2") 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]
