vamsibanda
/

sbert-all-MiniLM-L12-with-pooler

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

text-embeddings-inference

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vamsibanda commited on Sep 13, 2022

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@@ -10,7 +10,7 @@ tags:
 - onnx
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-# ONNX convert all-MiniLM-L6-v2
 ## Conversion of [sentence-transformers/all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2)
 This is a [sentence-transformers](https://www.SBERT.net) ONNX model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search. This custom model takes `last_hidden_state` and `pooler_output` whereas the sentence-transformers exported with default ONNX config only contains `last_hidden_state` as output.

 - onnx
 ---
+# ONNX convert all-MiniLM-L12-v2
 ## Conversion of [sentence-transformers/all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2)
 This is a [sentence-transformers](https://www.SBERT.net) ONNX model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search. This custom model takes `last_hidden_state` and `pooler_output` whereas the sentence-transformers exported with default ONNX config only contains `last_hidden_state` as output.