Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
text-embeddings-inference
Instructions to use diegoicomp/test-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use diegoicomp/test-1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("diegoicomp/test-1") 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:
- 5526779770af0b82d0b7bf198960f74425b9b217661e24ca65b28dfe4d58e4cd
- Size of remote file:
- 438 MB
- SHA256:
- f4574be05c204a2a7aee705c7972bd6d40f49105cad612b47aab66d00b2068df
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