Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
Korean
t5
text2text-generation
text-generation-inference
Instructions to use KETI-AIR/ke-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-AIR/ke-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-AIR/ke-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-AIR/ke-t5-base") - Notebooks
- Google Colab
- Kaggle
model documentation
#2
by nazneen - opened
No description provided.
Hi @kimsan0622
This PR has documentation about your model and is based on the format we are using as part of our effort to standardize model cards at Hugging Face. Please feel free to merge as is or edit as you like and then merge.
kimsan0622 changed pull request status to merged
Thank you for your contribution, @nazneen