gart-labor
/

eng-distilBERT-se-eclass

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sentence-transformers

feature-extraction

Inference Endpoints

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JoBeer commited on Jan 9, 2023

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 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
-The model is based on the mboth/distil-eng-quora-sentence model and was fine-tuned with the [eclass-dataset](https://huggingface.co/datasets/gart-labor/eclassTrainST).
 <!--- Describe your model here -->
 ## Usage (Sentence-Transformers)

 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+The model is based on the gart-labor/eng-distilBERT-se model and was fine-tuned with the [eclass-dataset](https://huggingface.co/datasets/gart-labor/eclassTrainST).
 <!--- Describe your model here -->
 ## Usage (Sentence-Transformers)