Sentence Similarity
sentence-transformers
PyTorch
distilbert
feature-extraction
text-embeddings-inference
Instructions to use ronanki/ml_use_13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ronanki/ml_use_13 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ronanki/ml_use_13") 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:
- 6906b27c265fe3b88737a589fa3c78787048baa76295ba16ed3357f87423314c
- Size of remote file:
- 539 MB
- SHA256:
- 3dea37a0233c185b60396d67273c5656d086218ad40c68b8b4adbd440a173c32
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