Instructions to use dnrso/koBART_Sum_Review_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dnrso/koBART_Sum_Review_finetuning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dnrso/koBART_Sum_Review_finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("dnrso/koBART_Sum_Review_finetuning") - Notebooks
- Google Colab
- Kaggle
metadata
base_model:
- gogamza/kobart-summarization
koBART Review Summarization
finetuning BASE
https://huggingface.co/gogamza/kobart-summarization
dataset and code
https://github.com/dnrso/review_summary_using_KoBART
Demo Space
https://huggingface.co/spaces/dnrso/koBART_Sum_Review_finetuning