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sbert-bps-custom-tokenizer-en

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sentence-transformers

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bert

feature-extraction

text-embeddings-inference

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sbert-bps-custom-tokenizer-en / 1_Pooling /config.json

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{
  "word_embedding_dimension": 384,
  "pooling_mode_cls_token": false,
  "pooling_mode_mean_tokens": true,
  "pooling_mode_max_tokens": false,
  "pooling_mode_mean_sqrt_len_tokens": false,
  "pooling_mode_weightedmean_tokens": false,
  "pooling_mode_lasttoken": false,
  "include_prompt": true
}

	{
	"word_embedding_dimension": 384,
	"pooling_mode_cls_token": false,
	"pooling_mode_mean_tokens": true,
	"pooling_mode_max_tokens": false,
	"pooling_mode_mean_sqrt_len_tokens": false,
	"pooling_mode_weightedmean_tokens": false,
	"pooling_mode_lasttoken": false,
	"include_prompt": true
	}