Instructions to use martymukherjee/ControlLyapunovTransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use martymukherjee/ControlLyapunovTransformer with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="martymukherjee/ControlLyapunovTransformer")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("martymukherjee/ControlLyapunovTransformer", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use martymukherjee/ControlLyapunovTransformer with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "martymukherjee/ControlLyapunovTransformer"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "martymukherjee/ControlLyapunovTransformer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/martymukherjee/ControlLyapunovTransformer

SGLang

How to use martymukherjee/ControlLyapunovTransformer with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "martymukherjee/ControlLyapunovTransformer" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "martymukherjee/ControlLyapunovTransformer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "martymukherjee/ControlLyapunovTransformer" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "martymukherjee/ControlLyapunovTransformer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use martymukherjee/ControlLyapunovTransformer with Docker Model Runner:
```
docker model run hf.co/martymukherjee/ControlLyapunovTransformer
```

Post all negative results here!

by martymukherjee - opened Mar 6, 2025

Discussion

martymukherjee

Owner Mar 6, 2025

Feel free to post all negative results (i.e. incorrect Lyapunov functions) in this thread.

martymukherjee pinned discussion Mar 6, 2025

martymukherjee changed discussion status to closed Mar 6, 2025

martymukherjee unpinned discussion Mar 6, 2025

martymukherjee changed discussion status to open Mar 6, 2025

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