KoichiYasuoka
commited on
Commit
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a0f2026
initial release
Browse files- README.md +27 -0
- config.json +27 -0
- pytorch_model.bin +3 -0
- sentencepiece.model +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
README.md
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---
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language:
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- "ja"
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tags:
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- "japanese"
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- "masked-lm"
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license: "cc-by-sa-4.0"
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pipeline_tag: "fill-mask"
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mask_token: "[MASK]"
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widget:
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- text: "日本に着いたら[MASK]を訪ねなさい。"
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---
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# roberta-large-japanese-aozora
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## Model Description
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This is a RoBERTa model pre-trained on 青空文庫 texts with [Japanese-LUW-Tokenizer](https://github.com/KoichiYasuoka/Japanese-LUW-Tokenizer). You can fine-tune `roberta-large-japanese-aozora` for downstream tasks, such as 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,AutoModelForMaskedLM
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tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-large-japanese-aozora")
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model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-large-japanese-aozora")
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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": 2,
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"classifier_dropout": null,
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"eos_token_id": 3,
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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": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"tokenizer_class": "RemBertTokenizerFast",
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"torch_dtype": "float32",
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"transformers_version": "4.14.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 250315
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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 sha256:67662b7c24a38f69d14e83d130875f12bc4ea5b3e1e67bf6be14322c18b2cb7b
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size 2242013419
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sentencepiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b
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size 1
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special_tokens_map.json
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{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": false, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "tokenizer_class": "RemBertTokenizerFast"}
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