Upload 7 files
Browse files- config.json +35 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "vaiv/kobigbird-roberta-large",
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"architectures": [
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"BigBirdForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"attention_type": "block_sparse",
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"block_size": 64,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 4096,
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"model_type": "big_bird",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_random_blocks": 3,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"rescale_embeddings": false,
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"sep_token_id": 2,
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"tokenizer_class": "BertTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.27.4",
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"type_vocab_size": 2,
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"use_bias": true,
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.27.4"
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}
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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:a3b4694998a0ae923b311ed5c1e9002d69b37aba5d004de4766d8c2eb1d4acea
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size 1365796327
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"model_max_length": 4096,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": "/home/daumsoft/.cache/huggingface/hub/models--klue--roberta-large/snapshots/28d911204e9022eda172571ca8cc61eaffd942f7/special_tokens_map.json",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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