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multilingual-e5-large-instruct-embedder-tg

Sentence Similarity

sentence-transformers

feature-extraction

Generated from Trainer

dataset_size:10190

loss:TripletLoss

Eval Results (legacy)

text-embeddings-inference

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multilingual-e5-large-instruct-embedder-tg / tokenizer_config.json

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Add new SentenceTransformer model

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	{
	"added_tokens_decoder": {
	"0": {
	"content": "<s>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"1": {
	"content": "<pad>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"2": {
	"content": "</s>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"3": {
	"content": "<unk>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"250001": {
	"content": "<mask>",
	"lstrip": true,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	}
	},
	"additional_special_tokens": [],
	"bos_token": "<s>",
	"clean_up_tokenization_spaces": true,
	"cls_token": "<s>",
	"eos_token": "</s>",
	"mask_token": "<mask>",
	"model_max_length": 512,
	"pad_token": "<pad>",
	"sep_token": "</s>",
	"tokenizer_class": "XLMRobertaTokenizer",
	"unk_token": "<unk>"
	}