How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "danny911kr/calm-mix-base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "danny911kr/calm-mix-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/danny911kr/calm-mix-base
Quick Links

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Check out the documentation for more information.

CALM

This model is for ICLR2021 paper: Pre-training Text-to-Text Transformers for Concept-centric Common Sense. Checkout our Project website for details!

@inproceedings{CALM2021,
  title={Pre-training Text-to-Text Transformers for Concept-centric Common Sense},
  author={Wangchunshu Zhou and Dong-Ho Lee and Ravi Kiran Selvam and Seyeon Lee and Bill Yuchen Lin and Xiang Ren},
  booktitle={ICLR},
  year={2021}
}
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