Transformers
PyTorch
TensorFlow
JAX
Safetensors
Korean
t5
text2text-generation
text-generation-inference
Instructions to use KETI-NLP/ke-t5-base-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-NLP/ke-t5-base-ko with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-NLP/ke-t5-base-ko") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-NLP/ke-t5-base-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from KETI-NLP/ke-t5-base-ko: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/KETI-NLP/ke-t5-base-ko/resolve/main/model.safetensors
- Command line
-
hf download hf://KETI-NLP/ke-t5-base-ko/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/KETI-NLP/ke-t5-base-ko/resolve/main/model.safetensors
990 MB
- Xet hash:
- 15edf942cf4f72cdd19d0e97e66cc9f8f8a41d614a180fb5584ca8ed50b72bba
- Size of remote file:
- 990 MB
- SHA256:
- 6a593e5ed0b8113d6d9834542de3720fd1c8e2a00c81a25be5b902c72baef33f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.