save ernie3.0 base model
Browse files- config.json +28 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "nghuyong/ernie-3.0-base-zh",
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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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"init_class": "ErnieModel",
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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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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"position_embedding_type": "absolute",
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"task_type_vocab_size": 3,
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"torch_dtype": "float32",
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"transformers_version": "4.17.0",
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"type_vocab_size": 4,
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"use_cache": true,
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"use_task_id": true,
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"vocab_size": 40000
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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 sha256:9da04eca5fdb70afcfa5b69ab49f011a67e7423ce04689883be882dd5bb316cc
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size 472031531
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "nghuyong/ernie-3.0-base-zh", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
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vocab.txt
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