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:
- cfb93f5f6e489bc1e8356bbf49a6d21a4737379d5e61f02dbad5e5fb191fc5f4
- Size of remote file:
- 712 kB
- SHA256:
- e691209201e83b9eacb20977259bc821dd616f4c48301ac309d884d80da5b332
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