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:
- 0f9ee0649817cf5606d4e0c240de43d0f11e97a0206be0e51fae4a0c7273416f
- Size of remote file:
- 265 MB
- SHA256:
- 6dcc33948b5916a27def845dd0efdda70b6d90d5b0b138a126d693bbab5c11ba
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