# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("kykim/funnel-kor-base")
model = AutoModel.from_pretrained("kykim/funnel-kor-base")Quick Links
Funnel-transformer base model for Korean
- 70GB Korean text dataset and 42000 lower-cased subwords are used
- Check the model performance and other language models for Korean in github
from transformers import FunnelTokenizer, FunnelModel
tokenizer = FunnelTokenizer.from_pretrained("kykim/funnel-kor-base")
model = FunnelModel.from_pretrained("kykim/funnel-kor-base")
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kykim/funnel-kor-base")