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:
- 6e677725ea7c7dc7a07bd72faa4ff33934319bb49781ec882a34638e5f9c256e
- Size of remote file:
- 1.3 GB
- SHA256:
- d78af29d58cd47470a71dc4150de0cdc70c7aa3850cdde3840d76b6c32d2180f
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