How to use JohanHeinsen/ENO_header_identifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JohanHeinsen/ENO_header_identifier") 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 JohanHeinsen/ENO_header_identifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("JohanHeinsen/ENO_header_identifier")
This is a setfit-model designed to classify text lines as headers or non-headers. It is designed to help segmentation of ENO.
Accuracy: 0.9912186763760976 f1: 0.9715869715869716
Files info
Base model
