How to use sebastian-reichbauer/DistilSPhilBERTa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sebastian-reichbauer/DistilSPhilBERTa") sentences = [ "ἐκνεύει πάλιν.", "I found out that he was accused concerning questions of their law, but had nothing charged against him deserving of death or chains.", "he is drawing back.", "In this book I have fully set forth the mechanical methods which I could furnish, and which I thought most useful in times of peace and war." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/sebastian-reichbauer/DistilSPhilBERTa/resolve/main/tokenizer.json
hf download hf://sebastian-reichbauer/DistilSPhilBERTa/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/sebastian-reichbauer/DistilSPhilBERTa/resolve/main/tokenizer.json
