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README.md
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- transformers
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---
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# {
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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 = ["
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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)
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