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:
- 404535dd47f70cb115698183acb33af23374e2e8a124c9f94ed2bc10a4184999
- Size of remote file:
- 53 Bytes
- SHA256:
- 4e52cd0cf70ad3810a614956c69ccc1ea91de5ee497f8a31d2b17b37c8d37c00
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