novel-sentence-bert-base-tone-embedding

$ pip install -U sentence-transformers

from sentence_transformers import SentenceTransformer

model_path = "ganbon/novel-sentence-bert-base-tone-embedding"
sentences = ["今日はいい天気ですわ", "この紅茶は本当においしいですわ", "今日はいい天気だな"]
model = SentenceTransformer(model_path)
embeddings = model.encode(sentences)
anchor, anchor_embedding  = sentences[0], embeddings[0]
print(f"anchoer:{anchor}")
for embedding, sentence in zip(embeddings[1:], sentences[1:]):
    print(f"{sentence}: {model.similarity(anchor_embedding, embedding).item():.2}")