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
Download pytorch_model.bin from KETI-AIR-Downstream/long-ke-t5-base-summarization: direct link, hf CLI and curl.
- Browser
- Download file 1.19 GB
-
https://huggingface.co/KETI-AIR-Downstream/long-ke-t5-base-summarization/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KETI-AIR-Downstream/long-ke-t5-base-summarization/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KETI-AIR-Downstream/long-ke-t5-base-summarization/resolve/main/pytorch_model.bin
1.19 GB
- Xet hash:
- cabb07108a7f115a6ba5e9b4c3ea7901889339d2cab7648c396aebfdf39fb1d1
- Size of remote file:
- 1.19 GB
- SHA256:
- 3cb2c94cbe68af7e808b3a4ce165c2a028feb4fc7a6b669843245a72e0fcebb0
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