Add model files
Browse files- config.json +19 -0
- flax_model.msgpack +3 -0
- pytorch_model.bin +3 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +10 -0
- vocab.txt +0 -0
config.json
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{
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"architectures": [
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"BertForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"type_vocab_size": 2,
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"vocab_size": 32768
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}
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:7dce0b8b350432362a184b9f8bb90ffb0f2ff0c394ab43b915e318926f4e7569
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size 447341816
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e172862e0674054d65e0ba40d67df2a4687982f589db44aa27091c386e5450a4
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size 447406217
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:71920d0dc0174d0a0ce32b934fe65f15320b2d53aa7e671718b33065748cb712
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size 549871840
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tokenizer_config.json
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{
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"tokenizer_class": "BertJapaneseTokenizer",
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"model_max_length": 512,
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"do_lower_case": false,
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"word_tokenizer_type": "mecab",
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"subword_tokenizer_type": "wordpiece",
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"mecab_kwargs": {
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"mecab_dic": "unidic_lite"
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}
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}
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vocab.txt
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