Instructions to use christopherastone/distilgpt2-proofs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use christopherastone/distilgpt2-proofs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="christopherastone/distilgpt2-proofs")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("christopherastone/distilgpt2-proofs") model = AutoModelForCausalLM.from_pretrained("christopherastone/distilgpt2-proofs") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use christopherastone/distilgpt2-proofs with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "christopherastone/distilgpt2-proofs" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "christopherastone/distilgpt2-proofs", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/christopherastone/distilgpt2-proofs
- SGLang
How to use christopherastone/distilgpt2-proofs 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 "christopherastone/distilgpt2-proofs" \ --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": "christopherastone/distilgpt2-proofs", "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 "christopherastone/distilgpt2-proofs" \ --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": "christopherastone/distilgpt2-proofs", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use christopherastone/distilgpt2-proofs with Docker Model Runner:
docker model run hf.co/christopherastone/distilgpt2-proofs
Commit History
Update README.md 4e7b9f1
upload flax model aa584d4
allow flax 2d5975f
Update README.md 7029aac
Update README.md edcc6a3
Update README.md 6ef4f66
Update README.md 79260f8
Update README.md 68c53e1
Update README.md eec2898
Update README.md 90cb91f
Create README.md 2d4a133
Create README.md 414826a
Initial commit 8361562
Christopher A. Stone commited on