Instructions to use hyunwoongko/kobart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyunwoongko/kobart with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hyunwoongko/kobart") model = AutoModelForSeq2SeqLM.from_pretrained("hyunwoongko/kobart") - Notebooks
- Google Colab
- Kaggle
KoBART-base-v2
With the addition of chatting data, the model is trained to handle the semantics of sequences longer than KoBART.
from transformers import PreTrainedTokenizerFast, BartModel
tokenizer = PreTrainedTokenizerFast.from_pretrained('hyunwoongko/kobart')
model = BartModel.from_pretrained('hyunwoongko/kobart')
Performance
NSMC
- acc. : 0.901
hyunwoongko/kobart
- Added bos/eos post processor
- Removed token_type_ids
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