vocab-transformers
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dense_encoder-msmarco-bert-base-word2vec256k_emb_updated

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sentence-transformers

PyTorch

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bert

feature-extraction

text-embeddings-inference

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dense_encoder-msmarco-bert-base-word2vec256k_emb_updated / tokenizer_config.json

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{"model_max_length": 512, "unk_token": "[UNK]", "cls_token": "[CLS]", "sep_token": "[SEP]", "pad_token": "[PAD]", "mask_token": "[MASK]", "special_tokens_map_file": "/root/.cache/huggingface/transformers/4d7ac4a9ce59a6b5b23b293c194bb8acb3ea41057de2958c1c48b502636945c7.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "nicoladecao/msmarco-word2vec256000-bert-base-uncased", "tokenizer_class": "PreTrainedTokenizerFast"}