Instructions to use iampanda/zpoint_large_embedding_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use iampanda/zpoint_large_embedding_zh with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("iampanda/zpoint_large_embedding_zh") 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:
- 179084497e86adbea0a6ecc57329a40271bd635a064b8b1760000e6a38cc6fb1
- Size of remote file:
- 7.35 MB
- SHA256:
- 2d12d2a133515a6e68358960eb0e3542066a21619744464c90f792443cfaa4ad
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