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@@ -7,7 +7,7 @@ tags:
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  - transformers
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  ---
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- # {MODEL_NAME}
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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.
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@@ -25,7 +25,7 @@ Then you can use the model like this:
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  ```python
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  from sentence_transformers import SentenceTransformer
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- sentences = ["This is an example sentence", "Each sentence is converted"]
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  model = SentenceTransformer('{MODEL_NAME}')
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  embeddings = model.encode(sentences)
 
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  - transformers
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  ---
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+ # {mrp/simcse-model-distil-m-bert}
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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.
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  ```python
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  from sentence_transformers import SentenceTransformer
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+ sentences = ["ฉันนะคือคนรักชาติยังไงละ!", "พวกสามกีบล้มเจ้า!"]
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  model = SentenceTransformer('{MODEL_NAME}')
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  embeddings = model.encode(sentences)