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
metadata
license: apache-2.0
datasets:
- google/extended_amazon_2023_dataset
language:
- en
metrics:
- precision
new_version: cs22/book-engine
pipeline_tag: sentence-similarity
library_name: sentence-transformers