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:
- 9e43c84476e364a64ad068223a838318bfbeeb1a427e0a06232f8e6add9c8ddc
- Size of remote file:
- 388 Bytes
- SHA256:
- 4d69776d27836157a71d6b05ec04e83cdb6dca0f71a52ca7c9d4bd5453d90053
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