Instructions to use nategro/parameter-mini-lds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nategro/parameter-mini-lds with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nategro/parameter-mini-lds") 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:
- 62c16a6afe8d3783575abfe895e37d07d1d3aafe5b38634000688c94c463c9b9
- Size of remote file:
- 90.9 MB
- SHA256:
- b33fc8aeb381576f7f475ca5995075ae9a42d3d95ff9cf1691bd5f947c1eeec6
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