KoichiYasuoka
commited on
Commit
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Parent(s):
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initial release
Browse files- README.md +44 -0
- config.json +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- supar.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- vocab.txt +0 -0
README.md
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---
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language:
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- "ko"
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tags:
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- "korean"
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- "token-classification"
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- "pos"
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- "dependency-parsing"
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datasets:
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- "universal_dependencies"
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license: "cc-by-sa-4.0"
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pipeline_tag: "token-classification"
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widget:
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- text: "홍시 맛이 나서 홍시라 생각한다."
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---
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# roberta-base-korean-morph-upos
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## Model Description
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This is a RoBERTa model for POS-tagging and dependency-parsing, derived from [klue/roberta-base](https://huggingface.co/klue/roberta-base) and [morphUD-korean](https://github.com/jungyeul/morphUD-korean). Every morpheme is tagged by [UPOS](https://universaldependencies.org/u/pos/)(Universal Part-Of-Speech).
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## How to Use
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```py
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from transformers import AutoTokenizer,AutoModelForTokenClassification,TokenClassificationPipeline
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tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-korean-morph-upos")
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model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-base-korean-morph-upos")
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pipeline=TokenClassificationPipeline(tokenizer=tokenizer,model=model,aggregation_strategy="simple")
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nlp=lambda x:[(x[t["start"]:t["end"]],t["entity_group"]) for t in pipeline(x)]
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print(nlp("홍시 맛이 나서 홍시라 생각한다."))
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```
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or
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```py
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import esupar
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nlp=esupar.load("KoichiYasuoka/roberta-base-korean-morph-upos")
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print(nlp("홍시 맛이 나서 홍시라 생각한다."))
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```
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## See Also
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[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
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config.json
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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:f7d1fc5576bab4b9c9c47791db5edc1b9c0f977645882469dd5bb599b816d656
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size 442924913
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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supar.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c0bf237ca850fab143c201dbc0e710887cb554efc04bc487304df682cf101ee
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size 490658725
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tokenizer.json
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tokenizer_config.json
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{
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"bos_token": "[CLS]",
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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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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"model_max_length": 512,
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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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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizerFast",
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"unk_token": "[UNK]"
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}
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vocab.txt
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