Instructions to use openai-community/gpt2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openai-community/gpt2-large with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="openai-community/gpt2-large")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2-large")
model = AutoModelForCausalLM.from_pretrained("openai-community/gpt2-large")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use openai-community/gpt2-large with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openai-community/gpt2-large"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openai-community/gpt2-large",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/openai-community/gpt2-large

SGLang

How to use openai-community/gpt2-large 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 "openai-community/gpt2-large" \
    --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": "openai-community/gpt2-large",
		"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 "openai-community/gpt2-large" \
        --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": "openai-community/gpt2-large",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use openai-community/gpt2-large with Docker Model Runner:
```
docker model run hf.co/openai-community/gpt2-large
```

Add model card

by Marissa - opened Jun 21, 2022

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+212

-1

Marissa

Jun 21, 2022

All feedback is welcome and appreciated! (cc @Ezi @meg @nazneen )

Add model cardbe203146

nazneen

Jun 21, 2022

For the environmental impact section, iirc there were estimates on how much hardware and ompute was used during training. Apart from that lgtm.

Marissa

Jun 22, 2022

Ooh great! Would you mind linking to that? I have only been able to find estimates for gpt-xl (the 1.5B version).

sgugger

Jul 22, 2022

Merging this as it's been a month without any reply and the comment can be addressed in a follow-up PR :-)

sgugger changed pull request status to merged Jul 22, 2022

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