Duplicated from shibing624/text2vec-base-chinese
How to use ChenZ95/text2vec-base-chinese with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ChenZ95/text2vec-base-chinese") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/ChenZ95/text2vec-base-chinese/resolve/main/sentence_bert_config.json
hf download hf://ChenZ95/text2vec-base-chinese/sentence_bert_config.json
curl -L -o sentence_bert_config.json https://huggingface.co/ChenZ95/text2vec-base-chinese/resolve/main/sentence_bert_config.json
