How to use Catchy1282/LogisticRegression_model_10_samples_per_label with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Catchy1282/LogisticRegression_model_10_samples_per_label")
How to use Catchy1282/LogisticRegression_model_10_samples_per_label with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Catchy1282/LogisticRegression_model_10_samples_per_label") 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]
