How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "breadlicker45/museweb"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "breadlicker45/museweb",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/breadlicker45/museweb
Quick Links

use https://mrcheeze.github.io/musenet-midi/ to make the midi file from the musenet encoding. this is a 8k-step model.

MusePy 1-1 https://huggingface.co/BreadAi/MusePy-1-1 is out

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