Instructions to use kulia-moon/tiny2GPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kulia-moon/tiny2GPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kulia-moon/tiny2GPT")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("kulia-moon/tiny2GPT") model = AutoModelForCausalLM.from_pretrained("kulia-moon/tiny2GPT") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use kulia-moon/tiny2GPT with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kulia-moon/tiny2GPT" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kulia-moon/tiny2GPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/kulia-moon/tiny2GPT
- SGLang
How to use kulia-moon/tiny2GPT 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 "kulia-moon/tiny2GPT" \ --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": "kulia-moon/tiny2GPT", "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 "kulia-moon/tiny2GPT" \ --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": "kulia-moon/tiny2GPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use kulia-moon/tiny2GPT with Docker Model Runner:
docker model run hf.co/kulia-moon/tiny2GPT
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- words
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- text2gpt
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- words
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<span class="text-[.6rem]! relative flex h-fit cursor-default items-center gap-1 rounded px-1.5 py-0.5 font-semibold uppercase leading-tight bg-gray-500/10 dark:bg-gray-500/30 text-gray-700 dark:text-gray-2000"><svg class="w-5 h-5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M16 23a1.5 1.5 0 1 0 1.5 1.5A1.5 1.5 0 0 0 16 23z" fill="currentColor"></path><path d="M15 12h2v9h-2z" fill="currentColor"></path><path d="M29 30H3a1 1 0 0 1-.887-1.461l13-25a1 1 0 0 1 1.774 0l13 25A1 1 0 0 1 29 30zM4.65 28h22.7l.001-.003L16.002 6.17h-.004L4.648 27.997z" fill="currentColor"></path></svg>I split the two models ONNX and Safetensor, please do not confuse the two models as one tiny2GPT model</span>
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