Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
Korean
t5
text2text-generation
text-generation-inference
Instructions to use KETI-NLP/ke-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-NLP/ke-t5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-NLP/ke-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-NLP/ke-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from KETI-NLP/ke-t5-small: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/KETI-NLP/ke-t5-small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://KETI-NLP/ke-t5-small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/KETI-NLP/ke-t5-small/resolve/main/flax_model.msgpack
308 MB
- Xet hash:
- 1818ab1037e31a9474c36052058e9584c2770e02ddba507c32a8b449d03757e0
- Size of remote file:
- 308 MB
- SHA256:
- 426d56db9ec67dc79829c7bf64678115728edfa8b21b36b14d7375fbb8665b5e
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