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As titles and subtitles you may want to include: Model Description, Intended use and limitations, How to use, Limitations and bias, Training data, Training procedure, Preprocessing and Evaluation results. Along with anything else that seems relevant.
from sentence_transformers import SentenceTransformer model = SentenceTransformer("olivebradshaw/dummy-model") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]