Instructions to use itlrc/gpt2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itlrc/gpt2-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="itlrc/gpt2-small", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("itlrc/gpt2-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use itlrc/gpt2-small with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "itlrc/gpt2-small" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "itlrc/gpt2-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/itlrc/gpt2-small
- SGLang
How to use itlrc/gpt2-small 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 "itlrc/gpt2-small" \ --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": "itlrc/gpt2-small", "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 "itlrc/gpt2-small" \ --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": "itlrc/gpt2-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use itlrc/gpt2-small with Docker Model Runner:
docker model run hf.co/itlrc/gpt2-small
File size: 518 Bytes
ea0a866 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"validated": true,
"safetensors_sha256": "868d94679a6e0c46664ade35462570c49e35f1a220a6b3e048afdda7aa81eb75",
"parameter_count": 124439808,
"tensor_count_on_disk": 148,
"tied_embeddings": true,
"torch_version": "2.14.0+cpu",
"transformers_version": "5.17.0",
"validation_method": "AutoModelForCausalLM.from_pretrained with trust_remote_code=True",
"sample_prompt": "Hi! I'm a",
"sample_output": "Hi! I'm a little girl, but I did not know it. I was on the moon. I went back to work out how much"
}
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