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:
- 8cc1779087434b06d4d80bbc14520964d0f0cc7bc4f67b7d58e9c3843ce4416e
- Size of remote file:
- 3.68 kB
- SHA256:
- 9fabba50d236802c7321ae3d58878c217c4d4d099b03a97482bdf2455157b829
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