Duplicated from shibing624/text2vec-base-chinese-sentence
How to use leif1557/text2vec-base-chinese-sentence with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("leif1557/text2vec-base-chinese-sentence") 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]
How to use leif1557/text2vec-base-chinese-sentence with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("leif1557/text2vec-base-chinese-sentence") model = AutoModel.from_pretrained("leif1557/text2vec-base-chinese-sentence", device_map="auto")
