Instructions to use cs22/book-engine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use cs22/book-engine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cs22/book-engine") 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:
- 51cac2bcbd53a380110ec900c807736da228e5f84662e6526afe25a1d662b6b7
- Size of remote file:
- 350 MB
- SHA256:
- 5d671761eee90a11916c102a879eca97bea0e0b5601510cae5876c179c106bcf
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