XYZ-embedding-zh-v2
Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("fangxq/XYZ-embedding-zh-v2")
# Run inference
sentences = [
'The weather is lovely today.',
"It's so sunny outside!",
'He drove to the stadium.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1792]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
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Evaluation results
- map on MTEB CMedQAv1test set self-reported89.977
- mrr on MTEB CMedQAv1test set self-reported91.889
- main_score on MTEB CMedQAv1test set self-reported89.977
- map on MTEB CMedQAv2test set self-reported89.046
- mrr on MTEB CMedQAv2test set self-reported91.217
- main_score on MTEB CMedQAv2test set self-reported89.046
- map_at_1 on MTEB CmedqaRetrievalself-reported27.796
- map_at_10 on MTEB CmedqaRetrievalself-reported41.498
- map_at_100 on MTEB CmedqaRetrievalself-reported43.332
- map_at_1000 on MTEB CmedqaRetrievalself-reported43.429