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
- Xet hash:
- b863944933f9217f91bc819f56042aadb7f394d713851ddfd967c9c88cc27487
- Size of remote file:
- 1.3 GB
- SHA256:
- f7a16bd9bf2013e86160282b1cb5d145792d74fd710cd99bed42e9fff1fcfb82
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