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xiaohang07
/
MatterGPT

Text Generation
Transformers
English
gpt
materials-science
crystal-structure
inverse-design
Model card Files Files and versions
xet
Community

Instructions to use xiaohang07/MatterGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xiaohang07/MatterGPT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="xiaohang07/MatterGPT")
    # Load model directly
    from transformers import GPT
    model = GPT.from_pretrained("xiaohang07/MatterGPT", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use xiaohang07/MatterGPT with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "xiaohang07/MatterGPT"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "xiaohang07/MatterGPT",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/xiaohang07/MatterGPT
  • SGLang

    How to use xiaohang07/MatterGPT 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 "xiaohang07/MatterGPT" \
        --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": "xiaohang07/MatterGPT",
    		"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 "xiaohang07/MatterGPT" \
            --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": "xiaohang07/MatterGPT",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use xiaohang07/MatterGPT with Docker Model Runner:

    docker model run hf.co/xiaohang07/MatterGPT
MatterGPT
350 MB
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  • 1 contributor
History: 5 commits
xiaohang07's picture
xiaohang07
Update README.md
ee83624 verified almost 2 years ago
  • .gitattributes
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    initial commit almost 2 years ago
  • README.md
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  • Voc_prior
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  • config.json
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  • mattergpt_pipeline.py
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  • mattergpt_wrapper.py
    2.47 kB
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  • model.py
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  • pytorch_model.pt

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    350 MB
    xet
    Upload 7 files almost 2 years ago
  • usage_example.py
    2.79 kB
    Upload 7 files almost 2 years ago