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:
# 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
Download model.safetensors from KETI-NLP/ke-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/KETI-NLP/ke-t5-base/resolve/main/model.safetensors
- Command line
-
hf download hf://KETI-NLP/ke-t5-base/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/KETI-NLP/ke-t5-base/resolve/main/model.safetensors
990 MB
- Xet hash:
- 72bda3249ed8e92b5e7c7b7fe00363b2c34b34a786480c438676ecc5a7c26751
- Size of remote file:
- 990 MB
- SHA256:
- d050f73e585b4898f04394234b9ab94f52317d75f7712389628fc37e8f84dd4c
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