Instructions to use cosmoquester/bart-ko-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cosmoquester/bart-ko-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cosmoquester/bart-ko-base") model = AutoModelForSeq2SeqLM.from_pretrained("cosmoquester/bart-ko-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5f0696444161628565cade069b8accea322c993be9e77ba48a5011229c0d41e
- Size of remote file:
- 508 MB
- SHA256:
- 8574cd1ecab495b2475b447728761a7f57930342f34d0a20854549a9acacd7fe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.