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:
- 48f1fb61b601754d6d27c892c02e38f7b9da34869bfcdb7e5063b149dc00ada8
- Size of remote file:
- 637 kB
- SHA256:
- af6b845e0f58b7ab4db508b688d2f1a858e023f5c5cccf30e21224e1aa046433
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