Transformers
PyTorch
Safetensors
Korean
bart
text2text-generation
KoBART
BART
Korean
QG
Question
KorQuad
Instructions to use rycont/KoQuestionBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rycont/KoQuestionBART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rycont/KoQuestionBART") model = AutoModelForSeq2SeqLM.from_pretrained("rycont/KoQuestionBART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from rycont/KoQuestionBART: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/rycont/KoQuestionBART/resolve/main/model.safetensors
- Command line
-
hf download hf://rycont/KoQuestionBART/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/rycont/KoQuestionBART/resolve/main/model.safetensors
496 MB
- Xet hash:
- b3635fb17572df8c86bb698d34a0572f9d8bf0d1f52348e3ce828eb29ca80af3
- Size of remote file:
- 496 MB
- SHA256:
- 03d7162ba387a782746586f287f1f73b6e7b7fb8ea2c6e2a1e7a412c11770a9b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.