pierreguillou
commited on
Commit
•
c35aef8
1
Parent(s):
f436a78
Add model weights, tokenizer and configuration
Browse files- config.json +31 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "/mnt/home/pierre/course-v4/nbs/MLM/question-answering/HFmodels/bert-large-cased-squad-v1.1-portuguese",
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"architectures": [
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"BertForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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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-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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"transformers_version": "4.7.0.dev0",
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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 sha256:96fac383e24115f2df3a1ce121ed3d93c6af5bc1f7379c11319e20729b11d6df
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size 1333560247
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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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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:50221e4dae8ea924fd68074720281c37e94402932fdece34ba52a9d0a3a5ea37
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size 1333906712
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tokenizer_config.json
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{"do_lower_case": false, "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": "/mnt/home/pierre/.cache/huggingface/transformers/d5b721c156180bbbcc4a1017e8c72a18f8f96cdc178acec5ddcd45905712b4cf.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "neuralmind/bert-large-portuguese-cased", "do_basic_tokenize": true, "never_split": null}
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vocab.txt
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