How to use from
vLLM
# Gated model: Login with a HF token with gated access permission
hf auth login
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deepakkr/bloomed"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepakkr/bloomed",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/deepakkr/bloomed
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DESCRIPTION:

Built on Bloom-560M and finetuned on a medicines question-answer dataset, this experimental model explores potential for medical Q&A tasks.

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