Instructions to use lier007/xiaobu-embedding-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lier007/xiaobu-embedding-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lier007/xiaobu-embedding-v2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
encode很慢
#9
by Wwwduojin - opened
似乎数据量大的话encode要很久很久
它的计算量比bert-large可能略多一点,您那边用的gpu推理吗,大概啥性能哈
如果是线上部署的话 可以参考这个https://github.com/huggingface/text-embeddings-inference