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 tf_model.h5 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/tf_model.h5
- Command line
-
hf download hf://KETI-NLP/ke-t5-base-ko/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/KETI-NLP/ke-t5-base-ko/resolve/main/tf_model.h5
990 MB
- Xet hash:
- 171843e731de6b0ffb51fe9702ae3982c0e2696f0addfb28a7eba11daf44d4af
- Size of remote file:
- 990 MB
- SHA256:
- a451809cb78d6425b86feb61b46fb06da36d4235011f15b562f198764e3bc660
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