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KorFinASC-XLM-RoBERTa
amphora/KorFinASC-XLM-RoBERTa
KorFinASC-XLM-RoBERTa is a text classification model from amphora. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
Pretrained XLM-RoBERTA-Large transfered to the Finance domain on Korean Language. See paper for more details.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jan 9, 2023
- Updated
- Jan 11, 2023
- SHA
- abf064de
Try a prompt
Model card
From the Hugging Face model README
KorFinASC-XLM-RoBERTa
Pretrained XLM-RoBERTA-Large transfered to the Finance domain on Korean Language.
See paper for more details.
Data
KorFinASC-XLM-RoBERTa is extensively trained on multiple datasets including KorFin-ASC, Ko-FinSA, Ko-ABSA and ModuABSA.
How to use.
>>> from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
>>> tokenizer = AutoTokenizer.from_pretrained("amphora/KorFinASC-XLM-RoBERTa")
>>> model = AutoModelForSequenceClassification.from_pretrained("amphora/KorFinASC-XLM-RoBERTa")
>>> input_str = "장 전체가 폭락한 가운데 삼성전자만 상승세를 이어갔다. </s> 삼성전자"
>>> input = tokenizer(input_str, return_tensors='pt')
>>> output = model.generate(**input, max_length=20)
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- apache-2.0
- Languages
- ko
- Created
- Jan 9, 2023
- Updated
- Jan 11, 2023