hiiamsid
/

sentence_similarity_spanish_es

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

text-embeddings-inference

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hiiamsid commited on Sep 23, 2021

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1 Parent(s): 66d9c05

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@@ -20,10 +20,10 @@ Input for the model: Any spanish text
 Output for the model: encoded text
 ## Evaluation
 ```
-- Cosine-Similarity :	Pearson: 0.8056	Spearman: 0.7993
-- Manhattan-Distance:	Pearson: 0.7986	Spearman: 0.7953
-- Euclidean-Distance:	Pearson: 0.7991	Spearman: 0.7960
-- Dot-Product-Similarity:	Pearson: 0.7658	Spearman: 0.7542
 ```
 #### How to use
 Here is how to use this model to get the features of a given text in *PyTorch*:

 Output for the model: encoded text
 ## Evaluation
 ```
+- Cosine-Similarity :	Pearson: 0.8532 Spearman: 0.8517
+- Manhattan-Distance:	Pearson: 0.8289	Spearman: 0.8333
+- Euclidean-Distance:	Pearson: 0.8298	Spearman: 0.8340
+- Dot-Product-Similarity:	Pearson: 0.8043	Spearman: 0.8063
 ```
 #### How to use
 Here is how to use this model to get the features of a given text in *PyTorch*: