Transformers
PyTorch
TensorFlow
JAX
Safetensors
Korean
English
t5
text2text-generation
text-generation-inference
Instructions to use KETI-NLP/ke-t5-large-newslike with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-NLP/ke-t5-large-newslike with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-NLP/ke-t5-large-newslike") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-NLP/ke-t5-large-newslike", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KETI-NLP/ke-t5-large-newslike: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/KETI-NLP/ke-t5-large-newslike/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KETI-NLP/ke-t5-large-newslike/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KETI-NLP/ke-t5-large-newslike/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- 2ba8e33fea196ddac5981d487cd92efca7a9675716299e5cfcfa0c04de95e25e
- Size of remote file:
- 3.13 GB
- SHA256:
- 746597bad1e050fcde917a2137775128d12fe3497e1c2ccab52bc7ab71f08daf
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