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 tf_model.h5 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/eb8f81a48877f4e3366ba797d2b7045d007644bc/tf_model.h5
- Command line
-
hf download hf://KETI-NLP/ke-t5-base@eb8f81a48877f4e3366ba797d2b7045d007644bc/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/KETI-NLP/ke-t5-base/resolve/eb8f81a48877f4e3366ba797d2b7045d007644bc/tf_model.h5
990 MB
- Xet hash:
- 08cfd99986d40fa5d08ace578c2e4c4f4739fed7491e32cf79158af8f00cef61
- Size of remote file:
- 990 MB
- SHA256:
- 04df00ace5e8067661997653f193b24b17a5645aaf5a6e00e2176c6220cc6f6b
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