Instructions to use johngiorgi/declutr-sci-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use johngiorgi/declutr-sci-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("johngiorgi/declutr-sci-base") 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:
- 78ab9c75ef0dfd0030b3026f0b01bc2361eaeeb2de7ca159624cfa4813e53b10
- Size of remote file:
- 442 MB
- SHA256:
- e02ac88105cce9d47cb952466b2abaf2555862688a04ff0a2b0b4052f390b021
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