KoichiYasuoka
commited on
Commit
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Parent(s):
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initial release
Browse files- README.md +26 -0
- config.json +23 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
README.md
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---
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language:
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- "lzh"
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tags:
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- "classical chinese"
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- "literary chinese"
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- "ancient chinese"
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license: "apache-2.0"
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pipeline_tag: "fill-mask"
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widget:
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- text: "孟子[MASK]梁惠王"
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---
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# roberta-classical-chinese-large-char
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## Model Description
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This is a RoBERTa model pre-trained on Classical Chinese texts, derived from [GuwenBERT-large](https://huggingface.co/ethanyt/guwenbert-large). Character-embeddings are enhanced into traditional/simplified characters. You can fine-tune `roberta-classical-chinese-large-char` for downstream tasks, such as sentencization, POS-tagging, dependency-parsing, and so on.
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## How to Use
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```py
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from transformers import AutoTokenizer,AutoModel
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tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char")
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model=AutoModel.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char")
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```
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config.json
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{
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"architectures": [
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"RobertaForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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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": 514,
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"tokenizer_class": "BertTokenizer",
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"type_vocab_size": 1,
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"vocab_size": 26318
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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:b86e31db88d1346640833ddddb45da032d98bc62d005abbb980046a57361d1ad
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size 1323629438
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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_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": "ethanyt/guwenbert-large", "do_basic_tokenize": true, "never_split": null}
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vocab.txt
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