Instructions to use lambdaofgod/document-dependencies-nbow-nbow-mnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lambdaofgod/document-dependencies-nbow-nbow-mnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lambdaofgod/document-dependencies-nbow-nbow-mnrl") 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:
- 3e25a2fd3991d8f29ab847530024ccc2b39a4af73dbade1bdeda778941055bc1
- Size of remote file:
- 42.8 MB
- SHA256:
- e782c7df91cb722d234afc31716cdd39445509b5023d2797f1e95845f094937e
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