Instructions to use adit94/sentenceTest1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use adit94/sentenceTest1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("adit94/sentenceTest1") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6a8e6fd7856a3b0070bb1eaef327c9e9188643d65a1e9ff53b056635c64f85c
- Size of remote file:
- 2.36 MB
- SHA256:
- 19897650f1710a50a1feacc17aeedee59253fac7cd8e407e09b8e619cb74cd08
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