Instructions to use Inkdrop/gpl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Inkdrop/gpl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Inkdrop/gpl") 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:
- ae9c5e4be38dede35f48868877f8b98d9c9d73918ef3706ff90c839284fed20f
- Size of remote file:
- 125 Bytes
- SHA256:
- b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
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