Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
text-embeddings-inference
Instructions to use flax-sentence-embeddings/stackoverflow_mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use flax-sentence-embeddings/stackoverflow_mpnet-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("flax-sentence-embeddings/stackoverflow_mpnet-base") 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
Trent Oh commited on
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Parent(s): fa443e3
Update README.md
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README.md
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@@ -30,7 +30,7 @@ Here is how to use this model to get the features of a given text using [Sentenc
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```python
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from sentence_transformers import SentenceTransformer
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model = SentenceTransformer('flax-sentence-embeddings/
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text = "Replace me by any question / answer you'd like."
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text_embbedding = model.encode(text)
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# array([-0.01559514, 0.04046123, 0.1317083 , 0.00085931, 0.04585106,
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```python
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from sentence_transformers import SentenceTransformer
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model = SentenceTransformer('flax-sentence-embeddings/stackoverflow_mpnet-base')
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text = "Replace me by any question / answer you'd like."
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text_embbedding = model.encode(text)
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# array([-0.01559514, 0.04046123, 0.1317083 , 0.00085931, 0.04585106,
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