Downloads · 30 days
30
1% of all-time downloads
klue-roberta-base-kornli
ehdwns1516/klue-roberta-base-kornli
klue-roberta-base-kornli is a text classification model from ehdwns1516. Use it when you need a label for a piece of text. It is set up for transformers.
This model trained with Korean dataset. Input premise sentence and hypothesis sentence. You can use English, but don't expect accuracy. If the context is longer than 1200 characters, the context may be cut in the midd…
All-time downloads
2K
Public
Repo size
885 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin443 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 14, 2021
- SHA
- 7ca6c75b
Try a prompt
Model card
From the Hugging Face model README
klue-roberta-base-kornli
- This model trained with Korean dataset.
- Input premise sentence and hypothesis sentence.
- You can use English, but don't expect accuracy.
- If the context is longer than 1200 characters, the context may be cut in the middle and the result may not come out well.
klue-roberta-base-kornli DEMO: Ainize DEMO
klue-roberta-base-kornli API: Ainize API
Overview
Language model: klue/roberta-base
Language: Korean
Training data: kakaobrain KorNLI
Eval data: kakaobrain KorNLI
Code: See Ainize Workspace
Usage
In Transformers
from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("ehdwns1516/klue-roberta-base-kornli")
classifier = pipeline(
"text-classification",
model="ehdwns1516/klue-roberta-base-kornli",
return_all_scores=True,
)
premise = "your premise"
hypothesis = "your hypothesis"
result = dict()
result[0] = classifier(premise + tokenizer.sep_token + hypothesis)[0]
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Mar 2, 2022
- Updated
- Jul 14, 2021