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