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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cosmoquester/bart-ko-base") model = AutoModelForSeq2SeqLM.from_pretrained("cosmoquester/bart-ko-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cosmoquester/bart-ko-base: direct link, hf CLI and curl.
- Browser
- Download file 508 MB
-
https://huggingface.co/cosmoquester/bart-ko-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cosmoquester/bart-ko-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cosmoquester/bart-ko-base/resolve/main/pytorch_model.bin
508 MB
- Xet hash:
- b5f0696444161628565cade069b8accea322c993be9e77ba48a5011229c0d41e
- Size of remote file:
- 508 MB
- SHA256:
- 8574cd1ecab495b2475b447728761a7f57930342f34d0a20854549a9acacd7fe
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