Instructions to use lassl/roberta-ko-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lassl/roberta-ko-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lassl/roberta-ko-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lassl/roberta-ko-small") model = AutoModelForMaskedLM.from_pretrained("lassl/roberta-ko-small") - Notebooks
- Google Colab
- Kaggle
metadata
language: ko
tags:
- korean
- lassl
mask_token: '[MASK]'
widget:
- text: 대한민국의 수도는 [MASK] 입니다.
LASSL roberta-ko-small
Pretrained roberta-ko-small on korean language was trained by LASSL framework. Below performance was evaluated at 2021/12/15.
| nsmc | klue_nli | klue_sts | korquadv1 | klue_mrc | avg |
|---|---|---|---|---|---|
| 87.8846 | 66.3086 | 83.8353 | 83.1780 | 42.4585 | 72.7330 |
How to use
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("lassl/roberta-ko-small")
tokenizer = AutoTokenizer.from_pretrained("lassl/roberta-ko-small")