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cutycat2000
/
MeowGPT-2

Text Generation
Transformers
Safetensors
English
llama
freeai
conversational
meowgpt
gpt
free
opensource
splittic
ai
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use cutycat2000/MeowGPT-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cutycat2000/MeowGPT-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="cutycat2000/MeowGPT-2")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("cutycat2000/MeowGPT-2")
    model = AutoModelForCausalLM.from_pretrained("cutycat2000/MeowGPT-2")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use cutycat2000/MeowGPT-2 with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "cutycat2000/MeowGPT-2"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "cutycat2000/MeowGPT-2",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/cutycat2000/MeowGPT-2
  • SGLang

    How to use cutycat2000/MeowGPT-2 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 "cutycat2000/MeowGPT-2" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "cutycat2000/MeowGPT-2",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    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 "cutycat2000/MeowGPT-2" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "cutycat2000/MeowGPT-2",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
  • Docker Model Runner

    How to use cutycat2000/MeowGPT-2 with Docker Model Runner:

    docker model run hf.co/cutycat2000/MeowGPT-2
MeowGPT-2
6.04 GB
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  • 2 contributors
History: 18 commits
cutycat2000's picture
cutycat2000
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