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:
- 1ba2b14232a221e80273b295a7efecffc1140078672f6715efff8d498f398c0f
- Size of remote file:
- 190 Bytes
- SHA256:
- a37f83ada23e7887be6b88f4998927dbeac0038af301553c7cd5461413bf1a56
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