Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
Korean
t5
text2text-generation
text-generation-inference
Instructions to use KETI-NLP/ke-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-NLP/ke-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-NLP/ke-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-NLP/ke-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (b4a9220b7e4882eff86e229a88f544ef7284aedf) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>2815578
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Update README.md
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Update README.md
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model documentation (#2)
- model documentation (a186ef52534b06991a46c571fd793916a7121d7f) Co-authored-by: Nazneen Rajani <nazneen@users.noreply.huggingface.co>0c1d552
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Create README.md
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upload flax model
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allow flax
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First version of the ke-t5-base model and tokenizer.
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initial commit
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