Instructions to use kakaobank/kf-deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kakaobank/kf-deberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kakaobank/kf-deberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kakaobank/kf-deberta-base") model = AutoModelForMaskedLM.from_pretrained("kakaobank/kf-deberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
363b171 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3cd6cd7811b3c9190e97cae7eb41571c2bc0076431baae7d41d449a8c1c18c6c
size 745694717
|