Transformers
PyTorch
TensorFlow
JAX
Safetensors
Korean
t5
text2text-generation
text-generation-inference
Instructions to use KETI-AIR/ke-t5-base-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-AIR/ke-t5-base-ko with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-AIR/ke-t5-base-ko") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-AIR/ke-t5-base-ko") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab378224e659c06e66b752b3937e8c4009212ba425bc4b7ec458e8887da98338
- Size of remote file:
- 990 MB
- SHA256:
- 091f0493e419f338dcdc43a146e53d40653e0259612291ed9b02f66e1a46efb4
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