Instructions to use hitmanonholiday/gpt2-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hitmanonholiday/gpt2-16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="hitmanonholiday/gpt2-16")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hitmanonholiday/gpt2-16") model = AutoModelForCausalLM.from_pretrained("hitmanonholiday/gpt2-16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hitmanonholiday/gpt2-16 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hitmanonholiday/gpt2-16" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hitmanonholiday/gpt2-16", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/hitmanonholiday/gpt2-16
- SGLang
How to use hitmanonholiday/gpt2-16 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 "hitmanonholiday/gpt2-16" \ --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": "hitmanonholiday/gpt2-16", "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 "hitmanonholiday/gpt2-16" \ --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": "hitmanonholiday/gpt2-16", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use hitmanonholiday/gpt2-16 with Docker Model Runner:
docker model run hf.co/hitmanonholiday/gpt2-16
Download model.safetensors from hitmanonholiday/gpt2-16: direct link, hf CLI and curl.
- Browser
- Download file 507 MB
-
https://huggingface.co/hitmanonholiday/gpt2-16/resolve/main/model.safetensors
- Command line
-
hf download hf://hitmanonholiday/gpt2-16/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hitmanonholiday/gpt2-16/resolve/main/model.safetensors
507 MB
- Xet hash:
- b1cc7581e7fcfe9a1732d93d0a6d5b2d80a3332c9b844ad11dbab950621bcf4d
- Size of remote file:
- 507 MB
- SHA256:
- 82b064d418d9820b52ccd5b715c3e1cd6359da9f2dfe7d3af08a3c8a10e93554
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