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
Adding `safetensors` variant of this model
#10
by SFconvertbot - opened
- 2_Dense/model.safetensors +3 -0
- model.safetensors +3 -0
2_Dense/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e921097181e05ec1214e429baf7fcf95f9d0bfaf9f004da386afc31829abdee7
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size 7347392
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:24d8b6fc9baf44edc88151102b62d99c8f133b219ae325722d2a92e60c78049e
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size 1302134568
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