amphora/KorFinASC-XLM-RoBERTa

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)