Transformers
PyTorch
Safetensors
Korean
longt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use KETI-AIR-Downstream/long-ke-t5-base-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-AIR-Downstream/long-ke-t5-base-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:91daf632e0fbe58d5412ff9540f95bab65a75423b096d32a80ea0960966df590
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size 1186822168
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