First commit
Browse files- config.json +55 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "neuralmind/bert-large-portuguese-cased",
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"architectures": [
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"BertForTokenClassification"
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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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"directionality": "bidi",
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"finetuning_task": "ner",
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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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"id2label": {
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"0": "B-LOC",
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"1": "B-MISC",
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"2": "B-ORG",
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"3": "B-PER",
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"4": "I-LOC",
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"5": "I-MISC",
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"6": "I-ORG",
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"7": "I-PER",
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"8": "O"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"B-LOC": 0,
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"B-MISC": 1,
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"B-ORG": 2,
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"B-PER": 3,
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"I-LOC": 4,
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"I-MISC": 5,
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"I-ORG": 6,
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"I-PER": 7,
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"O": 8
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},
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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": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 29794
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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 sha256:47b7526807502fcdf7829a64b31d239ec7648d885ceb087c171d5bcd0725767b
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size 1333559473
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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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{
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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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"mask_token": "[MASK]",
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"name_or_path": "neuralmind/bert-large-portuguese-cased",
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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": "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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The diff for this file is too large to render.
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