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:
- 68427d9a6d31ed0e4e17b8ef1f443db3441b3d95db66552f74c91292e59872ca
- Size of remote file:
- 601 Bytes
- SHA256:
- 85b35f3fa3f74017f2ce68bf6fc8b161aa96276ffe3fce327dc1d74352a723f6
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