shibing624/nli_zh
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How to use oldhu/text2vec-lert-base-5-tasks with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("oldhu/text2vec-lert-base-5-tasks")
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]based on https://github.com/shibing624/text2vec
spearman result:
| STS-B | ATEC | BQ | LCQMC | PAWSX |
|---|---|---|---|---|
| 67.60 | 42.67 | 61.61 | 77.79 | 57.54 |