Instructions to use johngiorgi/declutr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use johngiorgi/declutr-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("johngiorgi/declutr-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:
- 5c9abe7208c188ae237ee821970676a83e21d865442f57b003b0e2442eedeca1
- Size of remote file:
- 499 MB
- SHA256:
- b6a56efbf6bc06b77c4b6c371455e226b2c78481f17780cf679df8d857931067
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.