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
Add exported onnx model 'model_O4.onnx'
#12
by wangxccc - opened
- onnx/model_O4.onnx +3 -0
onnx/model_O4.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:70d6308287fa153a486561527cb4dee9120b92343f7ff87f2f30ce16cf9616c1
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size 649247636
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