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sbert-base-ja

Sentence Similarity sentence-transformers PyTorch Japanese bert feature-extraction Inference Endpoints

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sbert-base-ja / 1_Pooling /config.json

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	{
	"word_embedding_dimension": 768,
	"pooling_mode_cls_token": false,
	"pooling_mode_mean_tokens": true,
	"pooling_mode_max_tokens": false,
	"pooling_mode_mean_sqrt_len_tokens": false
	}