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:
# pip install -U transformers accelerate # 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 pytorch_model.bin 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/881896a213a70caaa186807c94972d7d4fa3b7d3/pytorch_model.bin
- Command line
-
hf download hf://KETI-NLP/ke-t5-base-ko@881896a213a70caaa186807c94972d7d4fa3b7d3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KETI-NLP/ke-t5-base-ko/resolve/881896a213a70caaa186807c94972d7d4fa3b7d3/pytorch_model.bin
990 MB
- Xet hash:
- 9eff6f3cb470f11a58aa324b8e2dcfa976d1005df2231867c9abd7be23b3b04a
- Size of remote file:
- 990 MB
- SHA256:
- 33949b110ff217bbc4290dd77d7fad72e3b60d31e3e8700eb04720a03fbbd593
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