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thilaksai04
/
text2cypher-llama3.1-8b

Text Generation
Transformers
English
cypher
graph-database
neo4j
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use thilaksai04/text2cypher-llama3.1-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thilaksai04/text2cypher-llama3.1-8b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="thilaksai04/text2cypher-llama3.1-8b")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("thilaksai04/text2cypher-llama3.1-8b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use thilaksai04/text2cypher-llama3.1-8b with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "thilaksai04/text2cypher-llama3.1-8b"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "thilaksai04/text2cypher-llama3.1-8b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/thilaksai04/text2cypher-llama3.1-8b
  • SGLang

    How to use thilaksai04/text2cypher-llama3.1-8b 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 "thilaksai04/text2cypher-llama3.1-8b" \
        --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": "thilaksai04/text2cypher-llama3.1-8b",
    		"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 "thilaksai04/text2cypher-llama3.1-8b" \
            --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": "thilaksai04/text2cypher-llama3.1-8b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use thilaksai04/text2cypher-llama3.1-8b with Docker Model Runner:

    docker model run hf.co/thilaksai04/text2cypher-llama3.1-8b
text2cypher-llama3.1-8b
313 MB
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  • 1 contributor
History: 3 commits
thilaksai04's picture
thilaksai04
Updated Readme file
0fce359 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • New_LoRA_modelv2.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    313 MB
    xet
    Initial model upload - version 1.0 over 1 year ago
  • README.md
    1.61 kB
    Updated Readme file over 1 year ago